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Distributed deep neural networks (DNNs) have been shown to reduce the computational burden of mobile devices and decrease the end-to-end inference latency in edge computing scenarios.
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Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge,
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Adversarial examples in the physical world,
A. Kurakin, I. J. Goodfellow, S. Bengio, · 2018
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Boosting Adversarial Attacks with Momentum,
Y. Dong, F. Liao, T. Pang, H. Su, J. Zhu, X. Hu, J. Li, · 2018
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Black-box adversarial attacks with limited queries and information,
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Is robustness the cost of accuracy?–a comprehensive study on the robustness of 18 deep image classification models,
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Robustness may be at odds with accuracy,
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Mutual information neural estimation,
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Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples,
A. Athalye, N. Carlini, D. Wagner, · 2018
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The ryerson audio-visual database of emotional speech and song (ravdess): A dynamic, multimodal set of facial and vocal expressions in north american english,
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Over-the-air deep learning based radio signal classification,
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In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning,
X. Wang, Y. Han, C. Wang, Q. Zhao, X. Chen, M. Chen, · 2019
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Distilled Split Deep Neural Networks for Edge-Assisted Real-Time Systems,
Y. Matsubara, S. Baidya, D. Callegaro, M. Levorato, S. Singh, · 2019
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BottleNet++: An End-to-end Approach for Feature Compression in Device-Edge Co-Inference Systems,
J. Shao, J. Zhang, · 2020
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Deep compressive offloading: Speeding up neural network inference by trading edge computation for network latency,
S. Yao, J. Li, D. Liu, T. Wang, S. Liu, H. Shao, T. Abdelzaher, · 2020
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A panda? no, it’s a sloth: Slowdown attacks on adaptive multi-exit neural network inference,
S. Hong, Y. Kaya, I.-V. Modoranu, T. Dumitraş, · 2020
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Club: A contrastive log-ratio upper bound of mutual information,
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Nattack: Learning the distributions of adversarial examples for an improved black-box attack on deep neural networks,
Y. Li, L. Li, L. Wang, T. Zhang, B. Gong, · 2019
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Efficient decision-based black-box adversarial attacks on face recognition,
Y. Dong, H. Su, B. Wu, Z. Li, W. Liu, T. Zhang, J. Zhu, · 2019
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Sign-opt: A query-efficient hard-label adversarial attack,
M. Cheng, S. Singh, P. Chen, P.-Y. Chen, S. Liu, C.-J. Hsieh, · 2019
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Jointdnn: An efficient training and inference engine for intelligent mobile cloud computing services,
A. E. Eshratifar, M. S. Abrishami, M. Pedram, · 2019
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MnasNet: Platform-Aware Neural Architecture Search for Mobile,
M. Tan, B. Chen, R. Pang, V. Vasudevan, M. Sandler, A. Howard, Q. V. Le, · 2019
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BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services,
A. E. Eshratifar, A. Esmaili, M. Pedram, · 2019
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Model inversion attacks against collaborative inference,
Z. He, T. Zhang, R. B. Lee, · 2019
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Formal limitations on the measurement of mutual information,
D. McAllester, K. Stratos, · 2020
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Benchmarking adversarial robustness on image classification,
Y. Dong, Q.-A. Fu, X. Yang, T. Pang, H. Su, Z. Xiao, J. Zhu, · 2020
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Robustbench: a standardized adversarial robustness benchmark,
F. Croce, M. Andriushchenko, V. Sehwag, E. Debenedetti, N. Flammarion, M. Chiang, P. Mittal, M. Hein, · 2020
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Adversarial machine learning attacks and defense methods in the cyber security domain,
I. Rosenberg, A. Shabtai, Y. Elovici, L. Rokach, · 2021
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Pareto-optimal bit allocation for collaborative intelligence,
S. R. Alvar, I. V. Bajić, · 2021
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Distilling robust and non-robust features in adversarial examples by information bottleneck,
J. Kim, B.-K. Lee, Y. M. Ro, · 2021
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ChARM: NextG Spectrum Sharing Through Data-Driven Real-Time O-RAN Dynamic Control,
L. Baldesi, F. Restuccia, T. Melodia, · 2022
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Triangle attack: A query-efficient decision-based adversarial attack,
X. Wang, Z. Zhang, K. Tong, D. Gong, K. He, Z. Li, W. Liu, · 2022
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Adversarial machine learning in wireless communications using rf data: A review,
D. Adesina, C.-C. Hsieh, Y. E. Sagduyu, L. Qian, · 2022
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A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo, et al., · 2023
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Gpt-4 technical report,
R. OpenAI, · 2023
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Robust empirical risk minimization with tolerance,
R. Bhattacharjee, M. Hopkins, A. Kumar, H. Yu, K. Chaudhuri, · 2023
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Resilience of entropy model in distributed neural networks,
M. Zhang, M. Abdi, S. Rifat, F. Restuccia, · 2024
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Hyperadv: Dynamic defense against adversarial radio frequency machine learning systems,
M. Zhang, M. De Lucia, A. Swami, J. Ashdown, K. Turck, F. Restuccia, · 2024
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Semantic edge computing and semantic communications in 6g networks: A unifying survey and research challenges,
M. Zhang, M. Abdi, V. R. Dasari, F. Restuccia, · 2025
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