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Traditional Deep Neural Network (DNN) security is mostly related to the well-known adversarial input example attack.
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2016
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Y. Liu, L. Wei, B. Luo, and Q. Xu, “Fault injection attack on deep neural network,” in
2017
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P.-Y. Chen, H. Zhang, Y. Sharma, J. Yi, and C.-J. Hsieh, “Zoo: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models,” in
2017
Cited alongside, same era.
N. Carlini and D. Wagner, “Towards evaluating the robustness of neural networks,” in
2017
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N. P. Jouppi, C. Young, N. Patil, D. Patterson, G. Agrawal, R. Bajwa, S. Bates, S. Bhatia, N. Boden, A. Borchers
2017
Cited alongside, same era.
A. S. Rakin, Z. He, and D. Fan, “Bit-flip attack: Crushing neural network with progressive bit search,” in
2019
Later among the works it cites.
P. Zhao, S. Wang, C. Gongye, Y. Wang, Y. Fei, and X. Lin, “Fault sneaking attack: A stealthy framework for misleading deep neural networks,” in
2019
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T. Gu, K. Liu, B. Dolan-Gavitt, and S. Garg, “Badnets: Evaluating backdooring attacks on deep neural networks,”
2019
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F. Tramer and D. Boneh, “Slalom: Fast, verifiable and private execution of neural networks in trusted hardware,” in
2019
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M. A. Haque, A. Verma, J. S. R. Alex, and N. Venkatesan, “Experimental evaluation of cnn architecture for speech recognition,” in
2020
Closest in time.
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A. Madry, A. Makelov, L. Schmidt, D. Tsipras, and A. Vladu, “Towards deep learning models resistant to adversarial attacks,” in
2018
Cited alongside, same era.
Y. Liu, S. Ma, Y. Aafer, W.-C. Lee, J. Zhai, W. Wang, and X. Zhang, “Trojaning attack on neural networks,” in
2018
Cited alongside, same era.
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen, “Mobilenetv2: Inverted residuals and linear bottlenecks,” in
2018
Cited alongside, same era.
D. Gruss, M. Lipp, M. Schwarz, D. Genkin, J. Juffinger, S. O’Connell, W. Schoechl, and Y. Yarom, “Another flip in the wall of rowhammer defenses,” in
2018
Cited alongside, same era.
Y. Sun, B. Xue, M. Zhang, and G. G. Yen, “Evolving deep convolutional neural networks for image classification,”
2019
Cited alongside, same era.
D. Das, A. Golder, J. Danial, S. Ghosh, A. Raychowdhury, and S. Sen, “X-deepsca: Cross-device deep learning side channel attack,” in
2019
Cited alongside, same era.
M. Yan, C. W. Fletcher, and J. Torrellas, “Cache telepathy: Leveraging shared resource attacks to learn
Cited in the paper.
Y. Lu, X. Xiong, W. Zhang, J. Liu, and R. Zhao, “Research on classification and similarity of patent citation based on deep learning,”
2020
Closest in time.
Y. Xiang, Z. Chen, Z. Chen, Z. Fang, H. Hao, J. Chen, Y. Liu, Z. Wu, Q. Xuan, and X. Yang, “Open dnn box by power side-channel attack,”
2020
Closest in time.
H. Yu, H. Ma, K. Yang, Y. Zhao, and Y. Jin, “Deepem: Deep neural networks model recovery through em side-channel information leakage,” 2020
2020
Closest in time.
A. S. Rakin, Z. He, and D. Fan, “Tbt: Targeted neural network attack with bit trojan,”
2020
Closest in time.
Z. He, A. S. Rakin, J. Li, C. Chakrabarti, and D. Fan, “Defending and harnessing the bit-flip based adversarial weight attack,” in
2020
Closest in time.