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Deep neural networks have achieved impressive performance in a variety of tasks over the last decade, such as autonomous driving, face recognition, and medical diagnosis.
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Targeted backdoor attacks on deep learning systems using data poisoning
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, and Dawn Song · 2017
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Badnets: Identifying vulnerabilities in the machine learning model supply chain
Tianyu Gu, Brendan Dolan-Gavitt, and Siddharth Garg · 2017
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Certified defenses for data poisoning attacks
Jacob Steinhardt, Pang Wei Koh, and Percy Liang · 2017
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Identifying medical diagnoses and treatable diseases by image-based deep learning
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Fine-pruning: Defending against backdooring attacks on deep neural networks
Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2018
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Trojaning attack on neural networks
Yingqi Liu, Shiqing Ma, Yousra Aafer, Wen-Chuan Lee, Juan Zhai, Weihang Wang, and Xiangyu Zhang · 2018
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Input-aware dynamic backdoor attack
Tuan Anh Nguyen and Anh Tran · 2020
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Wanet-imperceptible warping-based backdoor attack
Tuan Anh Nguyen and Anh Tuan Tran · 2020
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Trojanzoo: Everything you ever wanted to know about neural backdoors (but were afraid to ask)
Ren Pang, Zheng Zhang, Xiangshan Gao, Zhaohan Xi, Shouling Ji, Peng Cheng, and Ting Wang · 2020
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Certified robustness to label-flipping attacks via randomized smoothing
Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, and Zico Kolter · 2020
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Universal adversarial training
Ali Shafahi, Mahyar Najibi, Zheng Xu, John Dickerson, Larry S Davis, and Tom Goldstein · 2020
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Dreaming to distill: Data-free knowledge transfer via deepinversion
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Transparency by design: Closing the gap between performance and interpretability in visual reasoning
David Mascharka, Philip Tran, Ryan Soklaski, and Arjun Majumdar · 2018
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Spectral signatures in backdoor attacks
Brandon Tran, Jerry Li, and Aleksander Madry · 2018
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Deepinspect: A black-box trojan detection and mitigation framework for deep neural networks
Huili Chen, Cheng Fu, Jishen Zhao, and Farinaz Koushanfar · 2019
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Robust anomaly detection and backdoor attack detection via differential privacy
Min Du, Ruoxi Jia, and Dawn Song · 2019
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Neural cleanse: Identifying and mitigating backdoor attacks in neural networks
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y Zhao · 2019
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Defense against adversarial attacks using feature scattering-based adversarial training
Haichao Zhang and Jianyu Wang · 2019
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Data-free network quantization with adversarial knowledge distillation
Yoojin Choi, Jihwan Choi, Mostafa El-Khamy, and Jungwon Lee · 2020
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Hongxu Yin, Pavlo Molchanov, Jose M Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K Jha, and Jan Kautz · 2020
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Graph information bottleneck for subgraph recognition
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, and Ran He · 2020
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Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things
Jing Zhang and Dacheng Tao · 2020
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Gangsweep: Sweep out neural backdoors by gan
Liuwan Zhu, Rui Ning, Cong Wang, Chunsheng Xin, and Hongyi Wu · 2020
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T-miner: A generative approach to defend against trojan attacks on dnn-based text classification
Ahmadreza Azizi, Ibrahim Tahmid, Asim Waheed, Jiameng Mangaokar, Neal amd Pu, Mobin Javed, Chandan K. Reddy, and Bimal Viswanath · 2021
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Leveraging on deep reinforcement learning for autonomous safe decision-making in highway on-ramp merging (student abstract)
Zine el abidine Kherroubi, Samir Aknine, and Rebiha Bacha · 2021
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Fiba: Frequency-injection based backdoor attack in medical image analysis
Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, and Dacheng Tao · 2021
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High-fidelity face manipulation with extreme poses and expressions
Chaoyou Fu, Yibo Hu, Xiang Wu, Guoli Wang, Qian Zhang, and Ran He · 2021
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Dvg-face: Dual variational generation for heterogeneous face recognition
Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang, and Ran He · 2021
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Anti-backdoor learning: Training clean models on poisoned data
Yige Li, Xixiang Lyu, Nodens Koren, Lingjuan Lyu, Bo Li, and Xingjun Ma · 2021
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Recognizing predictive substructures with subgraph information bottleneck
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, and Ran He · 2021
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