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The vulnerability of deep neural networks to adversarial patches has motivated numerous defense strategies for boosting model robustness.
Active vision
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Estimating or propagating gradients through stochastic neurons for conditional computation
Yoshua Bengio, Nicholas Léonard, and Aaron Courville · 2013
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Adam: A method for stochastic optimization
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Microsoft coco: Common objects in context
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Adversarial manipulation of deep representations
Sara Sabour, Yanshuai Cao, Fartash Faghri, and David J Fleet · 2015
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Tensorflow: learning functions at scale
Martín Abadi · 2016
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Training deep nets with sublinear memory cost
Tianqi Chen, Bing Xu, Chiyuan Zhang, and Carlos Guestrin · 2016
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Recovering 6d object pose and predicting next-best-view in the crowd
Andreas Doumanoglou, Rigas Kouskouridas, Sotiris Malassiotis, and Tae-Kyun Kim · 2016
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A study of the effect of jpg compression on adversarial images
Gintare Karolina Dziugaite, Zoubin Ghahramani, and Daniel M Roy · 2016
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Ms-celeb-1m: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
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Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition
Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K Reiter · 2016
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Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
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Tom B Brown, Dandelion Mané, Aurko Roy, Martín Abadi, and Justin Gilmer · 2017
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Towards evaluating the robustness of neural networks
Nicholas Carlini and David Wagner · 2017
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Carla: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2017
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Embodied question answering
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra · 2018
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Boosting adversarial attacks with momentum
Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, and Jianguo Li · 2018
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Adversarial examples that fool both computer vision and time-limited humans
Gamaleldin Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian Goodfellow, and Jascha Sohl-Dickstein · 2018
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Robust physical-world attacks on deep learning visual classification
Adversarial training against location-optimized adversarial patches
Sukrut Rao, David Stutz, and Bernt Schiele · 2020
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On adaptive attacks to adversarial example defenses
Florian Tramer, Nicholas Carlini, Wieland Brendel, and Aleksander Madry · 2020
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Fast is better than free: Revisiting adversarial training
Eric Wong, Leslie Rice, and J Zico Kolter · 2020
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Adversarial t-shirt! evading person detectors in a physical world
Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, and Xue Lin · 2020
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Seal: Self-supervised embodied active learning using exploration and 3d consistency
Devendra Singh Chaplot, Murtaza Dalal, Saurabh Gupta, Jitendra Malik, and Russ R Salakhutdinov · 2021
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Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Chaowei Xiao, Atul Prakash, Tadayoshi Kohno, and Dawn Song · 2018
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On visible adversarial perturbations & digital watermarking
Jamie Hayes · 2018
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Yuezun Li, Xiao Bian, Ming-Ching Chang, and Siwei Lyu · 2018
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Large-scale celebfaces attributes (celeba) dataset
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
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Representation learning with contrastive predictive coding
Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Understanding measures of uncertainty for adversarial example detection
Lewis Smith and Yarin Gal · 2018
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Physical adversarial examples for object detectors
Dawn Song, Kevin Eykholt, Ivan Evtimov, Earlence Fernandes, Bo Li, Amir Rahmati, Florian Tramer, Atul Prakash, and Tadayoshi Kohno · 2018
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Decision transformer: Reinforcement learning via sequence modeling
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, and Igor Mordatch · 2021
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Libre: A practical bayesian approach to adversarial detection
Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, and Jun Zhu · 2021
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Improved residual networks for image and video recognition
Ionut Cosmin Duta, Li Liu, Fan Zhu, and Ling Shao · 2021
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Improving robustness using generated data
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, and Timothy A Mann · 2021
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ultralytics/yolov5: v5. 0-yolov5-p6 1280 models, aws, supervise. ly and youtube integrations
Glenn Jocher, Alex Stoken, Jirka Borovec, Ayush Chaurasia, Liu Changyu, Adam Hogan, Jan Hajek, Laurentiu Diaconu, Yonghye Kwon, Yann Defretin, et al · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Patchguard: A provably robust defense against adversarial patches via small receptive fields and masking
Chong Xiang, Arjun Nitin Bhagoji, Vikash Sehwag, and Prateek Mittal · 2021
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Improving transferability of adversarial patches on face recognition with generative models
Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, and Jun Zhu · 2021
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Efficient geometry-aware 3d generative adversarial networks
Eric R Chan, Connor Z Lin, Matthew A Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J Guibas, Jonathan Tremblay, Sameh Khamis, et al · 2022
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Interactron: Embodied adaptive object detection
Klemen Kotar and Roozbeh Mottaghi · 2022
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Segment and complete: Defending object detectors against adversarial patch attacks with robust patch detection
Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, and Soheil Feizi · 2022
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Sqa3d: Situated question answering in 3d scenes
Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, and Siyuan Huang · 2022
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Federico Nesti, Giulio Rossolini, Gianluca D’Amico, Alessandro Biondi, and Giorgio Buttazzo · 2022
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Controllable evaluation and generation of physical adversarial patch on face recognition
Xiao Yang, Yinpeng Dong, Tianyu Pang, Zihao Xiao, Hang Su, and Jun Zhu · 2022
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Proactive multi-camera collaboration for 3d human pose estimation
Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, and Yizhou Wang · 2023
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Learning to explore informative trajectories and samples for embodied perception
Ya Jing and Tao Kong · 2023
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Patchzero: Defending against adversarial patch attacks by detecting and zeroing the patch
Ke Xu, Yao Xiao, Zhaoheng Zheng, Kaijie Cai, and Ram Nevatia · 2023
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Adversarial attacks on face recognition
Xiao Yang and Jun Zhu · 2023
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Towards effective adversarial textured 3d meshes on physical face recognition
Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, and Jun Zhu · 2023
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Zijian Zhu, Yichi Zhang, Hai Chen, Yinpeng Dong, Shu Zhao, Wenbo Ding, Jiachen Zhong, and Shibao Zheng · 2023
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