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Embodied AI systems, including robots and autonomous vehicles, are increasingly integrated into real-world applications, where they encounter a range of vulnerabilities stemming from both environmental and system-level factors.
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Look before you leap: Market opportunity identification in emerging technology firms
M. Gruber, I. C. MacMillan, and J. D. Thompson · 2008
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Assessing the spoofing threat: Development of a portable gps civilian spoofer
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Power analysis attacks: Revealing the secrets of smart cards
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Tactile sensing—from humans to humanoids
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A wolf in sheep’s clothing: The use of ethics-related terms in 10-k reports
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Security and privacy vulnerabilities of { \{ In-Car } \} wireless networks: A tire pressure monitoring system case study
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A survey of hardware trojan taxonomy and detection
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A characterization of the performance of a mems gyroscope in acoustically harsh environments
R. N. Dean, S. T. Castro, G. T. Flowers, G. Roth, A. Ahmed, A. S. Hodel, B. E. Grantham, D. A. Bittle, and J. James P. Brunsch · 2011
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P. Mittendorfer and G. Cheng · 2011
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A survey on network security and attack defense mechanism for wireless sensor networks
S. K. Singh, M. Singh, and D. K. Singh · 2011
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Gps software attacks
N. Nighswander, B. M. Ledvina, J. Diamond, R. Brumley, and D. Brumley · 2012
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Reviews on various inertial measurement unit (imu) sensor applications
N. Ahmad, R. A. R. Ghazilla, N. M. Khairi, and V. Kasi · 2013
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Detecting integrity attacks on scada systems
Y. Mo, R. Chabukswar, and B. Sinopoli · 2013
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Intriguing properties of neural networks
C. Szegedy · 2013
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A Platform for False Data Injection in Frequency Modulated Continuous Wave Radar
R. Chauhan · 2014
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A { \{ Large-scale } \} analysis of the security of embedded firmwares
A. Costin, J. Zaddach, A. Francillon, and D. Balzarotti · 2014
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Explaining and harnessing adversarial examples
I. J. Goodfellow · 2014
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Counterfeit integrated circuits: Detection, avoidance, and the challenges ahead
U. Guin, D. DiMase, and M. Tehranipoor · 2014
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Referitgame: Referring to objects in photographs of natural scenes
S. Kazemzadeh, V. Ordonez, M. Matten, and T. Berg · 2014
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Intriguing properties of neural networks, 2014
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2014
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The ycb object and model set: Towards common benchmarks for manipulation research
B. Calli, A. Singh, A. Walsman, S. S. Srinivasa, P. Abbeel, and A. M. Dollar · 2015
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Microsoft coco captions: Data collection and evaluation server
X. Chen, H. Fang, T.-Y. Lin, R. Vedantam, S. Gupta, P. Dollár, and C. L. Zitnick · 2015
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Explaining and harnessing adversarial examples, 2015
I. J. Goodfellow, J. Shlens, and C. Szegedy · 2015
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
A. Nguyen, J. Yosinski, and J. Clune · 2015
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Remote attacks on automated vehicles sensors: Experiments on camera and lidar
J. Petit, B. Stottelaar, M. Feiri, and F. Kargl · 2015
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Remote attacks on automated vehicles sensors: Experiments on camera and lidar
J. Petit, B. Stottelaar, M. Feiri, and F. Kargl · 2015
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Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models
B. A. Plummer, L. Wang, C. M. Cervantes, J. C. Caicedo, J. Hockenmaier, and S. Lazebnik · 2015
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Cyberphysical security in networked control systems: An introduction to the issue
H. Sandberg, S. Amin, and K. H. Johansson · 2015
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Rocking drones with intentional sound noise on gyroscopic sensors
Y. Son, H. Shin, D. Kim, Y.-S. Park, J. Noh, K. Choi, J. Choi, and Y. Kim · 2015
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A survey of man in the middle attacks
M. Conti, N. Dragoni, and V. Lesyk · 2016
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Controlling uavs with sensor input spoofing attacks
D. Davidson, H. Wu, R. Jellinek, V. Singh, and T. Ristenpart · 2016
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Generation and comprehension of unambiguous object descriptions
J. Mao, J. Huang, A. Toshev, O. Camburu, A. L. Yuille, and K. Murphy · 2016
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Transferability in machine learning: from phenomena to black-box attacks using adversarial samples
N. Papernot, P. McDaniel, and I. Goodfellow · 2016
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The limitations of deep learning in adversarial settings
N. Papernot, P. McDaniel, S. Jha, M. Fredrikson, Z. B. Celik, and A. Swami · 2016
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Limiting the impact of stealthy attacks on industrial control systems
D. I. Urbina, J. A. Giraldo, A. A. Cardenas, N. O. Tippenhauer, J. Valente, M. Faisal, J. Ruths, R. Candell, and H. Sandberg · 2016
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Windcompass: Determine wind direction using smartphones
X. Wang, Y. Wu, and W. Xu · 2016
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Can you trust autonomous vehicles: Contactless attacks against sensors of self-driving vehicle
C. Yan, W. Xu, and J. Liu · 2016
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Modeling context in referring expressions
L. Yu, P. Poirson, S. Yang, A. C. Berg, and T. L. Berg · 2016
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Internet of things security: A survey
F. A. Alaba, M. Othman, I. A. T. Hashem, and F. Alotaibi · 2017
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T. B. Brown, D. Mané, A. Roy, M. Abadi, and J. Gilmer · 2017
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Towards evaluating the robustness of neural networks
N. Carlini and D. Wagner · 2017
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Y. Goyal, T. Khot, D. Summers-Stay, D. Batra, and D. Parikh · 2017
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Safety verification of deep neural networks
X. Huang, M. Kwiatkowska, S. Wang, and M. Wu · 2017
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Cyber-physical systems security—a survey
A. Humayed, J. Lin, F. Li, and B. Luo · 2017
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Towards deep learning models resistant to adversarial attacks
A. Madry · 2017
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Illusion and dazzle: Adversarial optical channel exploits against lidars for automotive applications
H. Shin, D. Kim, Y. Kwon, and Y. Kim · 2017
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Walnut: Waging doubt on the integrity of mems accelerometers with acoustic injection attacks
T. Trippel, O. Weisse, W. Xu, P. Honeyman, and K. Fu · 2017
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Sonic gun to smart devices
Z. Wang, K. Wang, B. yang, S. Li, and A. Pan · 2017
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Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
A. Zeng, S. Song, S. Welker, J. Lee, A. Rodriguez, and T. Funkhouser · 2017
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Dolphinattack: Inaudible voice commands
G. Zhang, C. Yan, X. Ji, T. Zhang, T. Zhang, and W. Xu · 2017
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Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
P. Anderson, Q. Wu, D. Teney, J. Bruce, M. Johnson, N. Sünderhauf, I. Reid, S. Gould, and A. Van Den Hengel · 2018
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Using simulation and domain adaptation to improve efficiency of deep robotic grasping
K. Bousmalis, A. Irpan, P. Wohlhart, Y. Bai, M. Kelcey, M. Kalakrishnan, L. Downs, J. Ibarz, P. Pastor, and K. Konolige · 2018
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From babies to robots: the contribution of developmental robotics to developmental psychology
A. Cangelosi and M. Schlesinger · 2018
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Embodied question answering
A. Das, S. Datta, G. Gkioxari, S. Lee, D. Parikh, and D. Batra · 2018
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Jacquard: A large scale dataset for robotic grasp detection
A. Depierre, E. Dellandrea, L. Chen, and S. Herbin · 2018
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Security vulnerabilities of unmanned aerial vehicles and countermeasures: An experimental study
V. Dey, V. Pudi, A. Chattopadhyay, and Y. Elovici · 2018
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Measuring and mitigating unintended bias in text classification
L. Dixon, J. Li, J. Sorensen, N. Thain, and L. Vasserman · 2018
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Robust physical-world attacks on deep learning visual classification
K. Eykholt, I. Evtimov, E. Fernandes, A. R. Bo Li, C. Xiao, A. Prakash, T. Kohno, and D. Song · 2018
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Robust physical-world attacks on deep learning visual classification
K. Eykholt, I. Evtimov, E. Fernandes, B. Li, A. Rahmati, C. Xiao, A. Prakash, T. Kohno, and D. Song · 2018
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A survey of safety and trustworthiness of deep neural networks
X. Huang, D. Kroening, W. Ruan, J. Sharp, Y. Sun, E. Thamo, M. Wu, and X. Yi · 2018
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Dpatch: An adversarial patch attack on object detectors
X. Liu, H. Yang, Z. Liu, L. Song, H. Li, and Y. Chen · 2018
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Data integrity: recovering from ransomware and other destructive events
T. McBride, A. Townsend, M. Ekstrom, L. Lusty, and J. Sexton · 2018
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Sensor con-fusion: Defeating kalman filter in signal injection attack
S. Nashimoto, D. Suzuki, T. Sugawara, and K. Sakiyama · 2018
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Competitive Learning Environment for Cyber-Physical System Security Experimentation
R. Raval, A. Maskus, B. Saltmiras, M. Dunn, P. J. Hawrylak, and J. Hale · 2018
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Physical adversarial examples for object detectors
D. Song, K. Eykholt, I. Evtimov, E. Fernandes, B. Li, A. Rahmati, F. Tramèr, A. Prakash, and T. Kohno · 2018
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Injected and delivered: Fabricating implicit control over actuation systems by spoofing inertial sensors
Y. Tu, Z. Lin, I. Lee, and X. Hei · 2018
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Toybox: A dataset of objects in varied poses
R. B. Wang, K. Chawla, P. D. Rodriguez, A. M. Kaufman, C. Wall, J. B. Tenenbaum, J. Wu, and A. Leonardis · 2018
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Analyzing and enhancing the security of ultrasonic sensors for autonomous vehicle
W. Xu, C. Yan, W. Jia, X. Ji, and J. Liu · 2018
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All your gps are belong to us: Towards stealthy manipulation of road navigation systems
K. C. Zeng, S. Liu, Y. Shu, D. Wang, H. Li, Y. Dou, G. Wang, and Y. Yang · 2018
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A survey on advanced persistent threats: Techniques, solutions, challenges, and research opportunities
A. Alshamrani, S. Myneni, A. Chowdhary, and D. Huang · 2019
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Adversarial sensor attack on lidar-based perception in autonomous driving
Y. Cao, C. Xiao, B. Cyr, Y. Zhou, W. Park, S. Rampazzi, Q. A. Chen, K. Fu, and Z. M. Mao · 2019
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Internet of things: A survey on machine learning-based intrusion detection approaches
K. A. Da Costa, J. P. Papa, C. O. Lisboa, R. Munoz, and V. H. C. de Albuquerque · 2019
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Talk2car: Taking control of your self-driving car
T. Deruyttere, S. Vandenhende, D. Grujicic, L. Van Gool, and M.-F. Moens · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2019
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Ok-vqa: A visual question answering benchmark requiring external knowledge
K. Marino, M. Rastegari, A. Farhadi, and R. Mottaghi · 2019
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A low-cost replica-based distance-spoofing attack on mmwave fmcw rada
N. Miura, T. Machida, K. Matsuda, M. Nagata, S. Nashimoto, and D. Suzuki · 2019
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Language models are unsupervised multitask learners
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, I. Sutskever, et al · 2019
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The security of autonomous driving: Threats, defenses, and future directions
K. Ren, Q. Wang, C. Wang, Z. Qin, and X. Lin · 2019
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The woman worked as a babysitter: On biases in language generation
E. Sheng, K.-W. Chang, P. Natarajan, and N. Peng · 2019
Cited alongside, same era.
Seeing isn’t believing: Towards more robust adversarial attack against real world object detectors
Y. Zhao, H. Zhu, R. Liang, Q. Shen, S. Zhang, and K. Chen · 2019
Cited alongside, same era.
Hidden voice commands: Attacks and defenses on the vcs of autonomous driving cars
M. Zhou, Z. Qin, X. Lin, S. Hu, Q. Wang, and K. Ren · 2019
Cited alongside, same era.
Language models are few-shot learners
T. B. Brown · 2020
Cited alongside, same era.
Accuracy assessment of real-time kinematics (rtk) measurements on unmanned aerial vehicles (uav) for direct geo-referencing
D. Ekaso, F. Nex, and N. Kerle · 2020
Cited alongside, same era.
X. Shen, Z. Chen, M. Backes, Y. Shen, and Y. Zhang · 2023
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Embedment of sensing elements for robust, highly sensitive, and cross-talk–free iontronic skins for robotics applications
J. Shi, Y. Dai, Y. Cheng, S. Xie, G. Li, Y. Liu, J. Wang, R. Zhang, N. Bai, M. Cai, et al · 2023
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Perceiver-actor: A multi-task transformer for robotic manipulation
M. Shridhar, L. Manuelli, and D. Fox · 2023
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Safety assessment of chinese large language models
H. Sun, Z. Zhang, J. Deng, J. Cheng, and M. Huang · 2023
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Rob811 robotic manipulation dataset
T. R. D. Team · 2023
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Graspnet-1billion: A large-scale benchmark for general object grasping
H.-S. Fang, C. Wang, M. Gou, and C. Lu · 2020
Cited alongside, same era.
Realtoxicityprompts: Evaluating neural toxic degeneration in language models
S. Gehman, S. Gururangan, M. Sap, Y. Choi, and N. A. Smith · 2020
Cited alongside, same era.
Realtoxicityprompts: Evaluating neural toxic degeneration in language models
S. Gehman, S. Gururangan, M. Sap, Y. Choi, and N. A. Smith · 2020
Cited alongside, same era.
Investigating african-american vernacular english in transformer-based text generation
S. Groenwold, L. Ou, A. Parekh, S. Honnavalli, S. Levy, D. Mirza, and W. Y. Wang · 2020
Cited alongside, same era.
Fooling detection alone is not enough: Adversarial attack against multiple object tracking
Y. Jia, Y. Lu, J. Shen, Q. A. Chen, H. Chen, Z. Zhong, and T. Wei · 2020
Cited alongside, same era.
Vision-based safety-related sensors in low visibility by fog
B. K. Kim and Y. Sumi · 2020
Cited alongside, same era.
Physgan: Generating physical-world-resilient adversarial examples for autonomous driving
Z. Kong, J. Guo, A. Li, and C. Liu · 2020
Cited alongside, same era.
How many unicorns are in this image? a safety evaluation benchmark for vision llms
H. Tu, C. Cui, Z. Wang, Y. Zhou, B. Zhao, J. Han, W. Zhou, H. Yao, and C. Xie · 2023
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Tovilag: Your visual-language generative model is also an evildoer
X. Wang, X. Yi, H. Jiang, S. Zhou, Z. Wei, and X. Xie · 2023
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Jailbreak and guard aligned language models with only few in-context demonstrations
Z. Wei, Y. Wang, A. Li, Y. Mo, and Y. Wang · 2023
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Advances in apparent conceptual physics reasoning in gpt-4
C. G. West · 2023
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Reasoning about the unseen for efficient outdoor object navigation
Q. Xie, T. Zhang, K. Xu, M. Johnson-Roberson, and Y. Bisk · 2023
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Lvlm-ehub: A comprehensive evaluation benchmark for large vision-language models
P. Xu, W. Shao, K. Zhang, P. Gao, S. Liu, M. Lei, F. Meng, S. Huang, Y. Qiao, and P. Luo · 2023
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SoK: Rethinking Sensor Spoofing Attacks Against Robotic Vehicles from a Systematic View
Y. Xu, X. Han, G. Deng, J. Li, Y. Liu, and T. Zhang · 2023
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Shadow alignment: The ease of subverting safely-aligned language models
X. Yang, X. Wang, Q. Zhang, L. Petzold, W. Y. Wang, X. Zhao, and D. Lin · 2023
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Low-resource languages jailbreak gpt-4
Z.-X. Yong, C. Menghini, and S. H. Bach · 2023
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Light can be dangerous: Stealthy and effective physical-world adversarial attack by spot light
L. Yufeng, Y. Fengyu, L. Qi, L. Jiangtao, and C. Chenhong · 2023
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Safetybench: Evaluating the safety of large language models with multiple choice questions
Z. Zhang, L. Lei, L. Wu, R. Sun, Y. Huang, C. Long, X. Liu, X. Lei, J. Tang, and M. Huang · 2023
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Defending large language models against jailbreaking attacks through goal prioritization
Z. Zhang, J. Yang, P. Ke, F. Mi, H. Wang, and M. Huang · 2023
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Robust Multi-Robot Active Target Tracking Against Sensing and Communication Attacks
L. Zhou and V. Kumar · 2023
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Autodan: interpretable gradient-based adversarial attacks on large language models
S. Zhu, R. Zhang, B. An, G. Wu, J. Barrow, Z. Wang, F. Huang, A. Nenkova, and T. Sun · 2023
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Universal and transferable adversarial attacks on aligned language models
A. Zou, Z. Wang, N. Carlini, M. Nasr, J. Z. Kolter, and M. Fredrikson · 2023
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Gps-imu sensor fusion for reliable autonomous vehicle position estimation
S. Y. Alaba · 2024
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Surrogateprompt: Bypassing the safety filter of text-to-image models via substitution
Z. Ba, J. Zhong, J. Lei, P. Cheng, Q. Wang, Z. Qin, Z. Wang, and K. Ren · 2024
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Drone gps spoofing attack, 2012
BBC · 2024
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Volkswagen worker killed by robot, 2015
BBC · 2024
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Mirai botnet attack on iot devices, 2016
BBC · 2024
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Are aligned neural networks adversarially aligned?, 2024
N. Carlini, M. Nasr, C. A. Choquette-Choo, M. Jagielski, I. Gao, A. Awadalla, P. W. Koh, D. Ippolito, K. Lee, F. Tramer, and L. Schmidt · 2024
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Jailbreakbench: An open robustness benchmark for jailbreaking large language models
P. Chao, E. Debenedetti, A. Robey, M. Andriushchenko, F. Croce, V. Sehwag, E. Dobriban, N. Flammarion, G. J. Pappas, F. Tramer, et al · 2024
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Red teaming gpt-4v: Are gpt-4v safe against uni/multi-modal jailbreak attacks?
S. Chen, Z. Han, B. He, Z. Ding, W. Yu, P. Torr, V. Tresp, and J. Gu · 2024
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Towards transferable attacks against vision-llms in autonomous driving with typography, 2024
N. Chung, S. Gao, T.-A. Vu, J. Zhang, A. Liu, Y. Lin, J. S. Dong, and Q. Guo · 2024
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On the robustness of large multimodal models against image adversarial attacks
X. Cui, A. Aparcedo, Y. K. Jang, and S.-N. Lim · 2024
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Pandora: Jailbreak gpts by retrieval augmented generation poisoning
G. Deng, Y. Liu, K. Wang, Y. Li, T. Zhang, and Y. Liu · 2024
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Jailbreaking text-to-image models with llm-based agents
Y. Dong, Z. Li, X. Meng, N. Yu, and S. Guo · 2024
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Adversarial robustness for visual grounding of multimodal large language models
K. Gao, Y. Bai, J. Bai, Y. Yang, and S.-T. Xia · 2024
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Hts-attack: Heuristic token search for jailbreaking text-to-image models, 2024
S. Gao, X. Jia, Y. Huang, R. Duan, J. Gu, Y. Bai, Y. Liu, and Q. Guo · 2024
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Cold-attack: Jailbreaking llms with stealthiness and controllability
X. Guo, F. Yu, H. Zhang, L. Qin, and B. Hu · 2024
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Irr: Image review ranking framework for evaluating vision-language models, 2024
K. Hayashi, K. Onishi, T. Suzuki, Y. Ide, S. Gobara, S. Saito, Y. Sakai, H. Kamigaito, K. Hayashi, and T. Watanabe · 2024
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Tuba: Cross-lingual transferability of backdoor attacks in llms with instruction tuning, 2024
X. He, J. Wang, Q. Xu, P. Minervini, P. Stenetorp, B. I. P. Rubinstein, and T. Cohn · 2024
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Multiply: A multisensory object-centric embodied large language model in 3d world
Y. Hong, Z. Zheng, P. Chen, Y. Wang, J. Li, and C. Gan · 2024
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Beavertails: Towards improved safety alignment of llm via a human-preference dataset
J. Ji, M. Liu, J. Dai, X. Pan, C. Zhang, C. Bian, B. Chen, R. Sun, Y. Wang, and Y. Yang · 2024
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Exploiting programmatic behavior of llms: Dual-use through standard security attacks
D. Kang, X. Li, I. Stoica, C. Guestrin, M. Zaharia, and T. Hashimoto · 2024
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A Systematic Study of Physical Sensor Attack Hardness
H. Kim, R. Bandyopadhyay, M. Ozmen, Z. Celik, A. Bianchi, Y. Kim, and D. Xu · 2024
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Salad-bench: A hierarchical and comprehensive safety benchmark for large language models
L. Li, B. Dong, R. Wang, X. Hu, W. Zuo, D. Lin, Y. Qiao, and J. Shao · 2024
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Salad-bench: A hierarchical and comprehensive safety benchmark for large language models
L. Li, B. Dong, R. Wang, X. Hu, W. Zuo, D. Lin, Y. Qiao, and J. Shao · 2024
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Vlfeedback: A large-scale ai feedback dataset for large vision-language models alignment
L. Li, Z. Xie, M. Li, S. Chen, P. Wang, L. Chen, Y. Yang, B. Wang, L. Kong, and Q. Liu · 2024
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Red teaming visual language models
M. Li, L. Li, Y. Yin, M. Ahmed, Z. Liu, and Q. Liu · 2024
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Y. Li, H. Guo, K. Zhou, W. X. Zhao, and J.-R. Wen · 2024
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Figure it out: Analyzing-based jailbreak attack on large language models
S. Lin, R. Li, X. Wang, C. Lin, W. Xing, and M. Han · 2024
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A survey of attacks on large vision-language models: Resources, advances, and future trends, 2024
D. Liu, M. Yang, X. Qu, P. Zhou, Y. Cheng, and W. Hu · 2024
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Visual instruction tuning
H. Liu, C. Li, Q. Wu, and Y. J. Lee · 2024
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Lora-as-an-attack! piercing llm safety under the share-and-play scenario, 2024
H. Liu, Z. Liu, R. Tang, J. Yuan, S. Zhong, Y.-N. Chuang, L. Li, R. Chen, and X. Hu · 2024
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Autodan: Generating stealthy jailbreak prompts on aligned large language models
X. Liu, N. Xu, M. Chen, and C. Xiao · 2024
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Janus: A Trusted Execution Environment Approach for Attack Detection in Industrial Robot Controllers
S. Longari, J. Jannone, M. Polino, M. Carminati, A. Zanchettin, M. Tanelli, and S. Zanero · 2024
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W. Luo, S. Ma, X. Liu, X. Guo, and C. Xiao · 2024
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W. Luo, S. Ma, X. Liu, X. Guo, and C. Xiao · 2024
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Codechameleon: Personalized encryption framework for jailbreaking large language models
H. Lv, X. Wang, Y. Zhang, C. Huang, S. Dou, J. Ye, T. Gui, Q. Zhang, and X. Huang · 2024
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Jailbreaking prompt attack: A controllable adversarial attack against diffusion models
J. Ma, A. Cao, Z. Xiao, Y. Li, J. Zhang, C. Ye, and J. Zhao · 2024
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S. Ma, W. Luo, Y. Wang, X. Liu, M. Chen, B. Li, and C. Xiao · 2024
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Harmbench: A standardized evaluation framework for automated red teaming and robust refusal
M. Mazeika, L. Phan, X. Yin, A. Zou, Z. Wang, N. Mu, E. Sakhaee, N. Li, S. Basart, B. Li, et al · 2024
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Security considerations in ai-robotics: A survey of current methods, challenges, and opportunities
S. Neupane, S. Mitra, I. A. Fernandez, S. Saha, S. Mittal, J. Chen, N. Pillai, and S. Rahimi · 2024
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Jailbreaking attack against multimodal large language model
Z. Niu, H. Ren, X. Gao, G. Hua, and R. Jin · 2024
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Rococo: Robustness benchmark of ms-coco to stress-test image-text matching models, 2024
S. Park, D. Um, H. Yoon, S. Chun, S. Yun, and J. Y. Choi · 2024
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Robust adas: Enhancing robustness of machine learning-based advanced driver assistance systems for adverse weather
M. Z. Shahzad, M. A. Hanif, and M. Shafique · 2024
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Voice jailbreak attacks against gpt-4o
X. Shen, Y. Wu, M. Backes, and Y. Zhang · 2024
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Colonial pipeline ceo says paying ransom was the right thing to do for the country
C. Staff · 2024
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Asetf: A novel method for jailbreak attack on llms through translate suffix embeddings
H. Wang, H. Li, M. Huang, and L. Sha · 2024
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Large language models for robotics: Opportunities, challenges, and perspectives
J. Wang, Z. Wu, Y. Li, H. Jiang, P. Shu, E. Shi, H. Hu, C. Ma, Y. Liu, X. Wang, et al · 2024
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Executable code actions elicit better llm agents
X. Wang, Y. Chen, L. Yuan, Y. Zhang, Y. Li, H. Peng, and H. Ji · 2024
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Break the visual perception: Adversarial attacks targeting encoded visual tokens of large vision-language models, 2024
Y. Wang, C. Liu, Y. Qu, H. Cao, D. Jiang, and L. Xu · 2024
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List of tesla autopilot crashes, 2024
Wikipedia · 2024
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Watch hackers sabotage an industrial robot arm, 2017
Wired · 2024
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Unveiling the safety of gpt-4o: An empirical study using jailbreak attacks
Z. Ying, A. Liu, X. Liu, and D. Tao · 2024
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GPT-4 is too smart to be safe: Stealthy chat with LLMs via cipher
Y. Yuan, W. Jiao, W. Wang, J. tse Huang, P. He, S. Shi, and Z. Tu · 2024
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Y. Zeng, H. Lin, J. Zhang, D. Yang, R. Jia, and W. Shi · 2024
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H. Zhang, W. Shao, H. Liu, Y. Ma, P. Luo, Y. Qiao, and K. Zhang · 2024
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B-avibench: Towards evaluating the robustness of large vision-language model on black-box adversarial visual-instructions, 2024
H. Zhang, W. Shao, H. Liu, Y. Ma, P. Luo, Y. Qiao, N. Zheng, and K. Zhang · 2024
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Talec: Teach your llm to evaluate in specific domain with in-house criteria by criteria division and zero-shot plus few-shot, 2024
K. Zhang, S. Yuan, and H. Zhao · 2024
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Visual adversarial attack on vision-language models for autonomous driving, 2024
T. Zhang, L. Wang, X. Zhang, Y. Zhang, B. Jia, S. Liang, S. Hu, Q. Fu, A. Liu, and X. Liu · 2024
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Spa-vl: A comprehensive safety preference alignment dataset for vision language model
Y. Zhang, L. Chen, G. Zheng, Y. Gao, R. Zheng, J. Fu, Z. Yin, S. Jin, Y. Qiao, X. Huang, et al · 2024
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Spa-vl: A comprehensive safety preference alignment dataset for vision language model
Y. Zhang, L. Chen, G. Zheng, Y. Gao, R. Zheng, J. Fu, Z. Yin, S. Jin, Y. Qiao, X. Huang, et al · 2024
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Optimising ground penetrating radar data interpretation: A hybrid approach with ai-assisted kalman filter and wavelet transform for detecting and locating buried utilities
A. Afrasiabi, A. Faramarzi, D. Chapman, and A. Keshavarzi · 2025
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Imu as an input versus a measurement of the state in inertial-aided state estimation
K. Burnett, A. P. Schoellig, and T. D. Barfoot · 2025
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Satellite-based geodesy
M. Gupta · 2025
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Openai moderation endpoint api
OpenAI · 2025
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Openai usage policies
OpenAI · 2025
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Acquisition, doppler tracking, and differential leo-aided imu navigation with uncooperative satellites
S. Shahcheraghi, J. Saroufim, and Z. M. Kassas · 2025
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An end-to-end model for logits based large language models watermarking, 2025
K. H. WONG, J. Zhou, J. Zhou, and Y.-W. Si · 2025
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Wheel-gins: A gnss/ins integrated navigation system with a wheel-mounted imu
Y. Wu, J. Kuang, X. Niu, C. Stachniss, L. Klingbeil, and H. Kuhlmann · 2025
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A real-time, robust and versatile visual-slam framework based on deep learning networks
X. Zhang, H. Dong, H. Zhang, X. Zhu, S. Li, and B. Deng · 2025
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