Title
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 178 27 0 15 Feb 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During TrainingNeural Information Processing Systems (NeurIPS), 2022 Zhenting Wang Hailun Ding Juan Zhai Shiqing Ma AAML 303 55 0 13 Feb 2022
Progressive Backdoor Erasing via connecting Backdoor and Adversarial AttacksComputer Vision and Pattern Recognition (CVPR), 2022 Bingxu Mu Zhenxing Niu Le Wang Qingsong Wen Rong Jin G. Hua AAML 140 24 0 13 Feb 2022
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel CodingAsia-Pacific Computer Systems Architecture Conference (ACSA), 2022 Giulio Pagnotta Dorjan Hitaj Briland Hitaj Fernando Perez-Cruz L. Mancini 221 9 0 12 Feb 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor DefenseInternational Conference on Machine Learning (ICML), 2022 Guangyu Shen Yingqi Liu Guanhong Tao Qiuling Xu Zhuo Zhang Shengwei An Shiqing Ma Xinming Zhang AAML 220 52 0 11 Feb 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware ClassifiersIEEE Symposium on Security and Privacy (IEEE S&P), 2022 Limin Yang Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang AAML 277 44 0 11 Feb 2022
Backdoor Defense via Decoupling the Training ProcessInternational Conference on Learning Representations (ICLR), 2022 Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 158 232 0 05 Feb 2022
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks Muhammad Usman Youcheng Sun D. Gopinath C. Păsăreanu AAML 113 1 0 31 Jan 2022
Backdoor Defense with Machine UnlearningIEEE Conference on Computer Communications (INFOCOM), 2022 Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 177 97 0 24 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack ScenariosInternational Conference on Learning Representations (ICLR), 2022 Zhen Xiang David J. Miller G. Kesidis AAML 193 48 0 20 Jan 2022
Rethink the Evaluation for Attack Strength of Backdoor Attacks in Natural Language Processing Lingfeng Shen Haiyun Jiang Lemao Liu Shuming Shi ELM 114 1 0 09 Jan 2022
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis Yu Feng Benteng Ma Jing Zhang Shanshan Zhao Yong-quan Xia Dacheng Tao AAML 254 97 0 02 Dec 2021
Backdoor Attack through Frequency Domain Tong Wang Xingtai Lv Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 237 40 0 22 Nov 2021
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences Wei Guo B. Tondi Mauro Barni AAML 262 94 0 16 Nov 2021
Enhancing Backdoor Attacks with Multi-Level MMD RegularizationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021 Pengfei Xia Hongjing Niu Wandi Qiao Bin Li AAML 209 35 0 09 Nov 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 228 342 0 27 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned DataNeural Information Processing Systems (NeurIPS), 2021 Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Jiabo He OnRL 305 399 0 22 Oct 2021
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models Wenkai Yang Yankai Lin Peng Li Jie Zhou Xu Sun SILM AAML 228 137 0 15 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 301 212 0 07 Oct 2021
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks Kiran Karra C. Ashcraft Cash Costello AAML 217 0 0 09 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang Lingjuan Lyu Weiqiang Wang Lichao Sun Xu Sun 176 39 0 03 Sep 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 409 28 0 20 Aug 2021
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better Bojia Zi Shihao Zhao Jiabo He Yu-Gang Jiang AAML 166 121 0 18 Aug 2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural NetworksIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021 Suyoung Lee Wonho Song Suman Jana M. Cha Sooel Son AAML 167 17 0 18 Jun 2021
Accumulative Poisoning Attacks on Real-time DataNeural Information Processing Systems (NeurIPS), 2021 Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu 200 22 0 18 Jun 2021
MISA: Online Defense of Trojaned Models using MisattributionsAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021 Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 229 10 0 29 Mar 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2021 Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 435 81 0 09 Feb 2021
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-Level Backdoor AttacksMachine Intelligence Research (MIR), 2021 Zhengyan Zhang Guangxuan Xiao Yongwei Li Tian Lv Fanchao Qi Zhiyuan Liu Yasheng Wang Xin Jiang Maosong Sun AAML 269 82 0 18 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Jiabo He Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 555 465 0 07 Dec 2020
Backdoor Learning: A SurveyIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 557 733 0 17 Jul 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 91 16 0 26 Jun 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural NetworksComputers & security (CS), 2020 Kathrin Grosse Taesung Lee Battista Biggio Youngja Park Michael Backes Ian Molloy AAML 152 13 0 11 Jun 2020
NNoculation: Catching BadNets in the Wild A. Veldanda Kang Liu Benjamin Tan Prashanth Krishnamurthy Farshad Khorrami Ramesh Karri Brendan Dolan-Gavitt S. Garg AAML OnRL 197 21 0 19 Feb 2020

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Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

International Conference on Learning Representations (ICLR), 2021

15 January 2021

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Papers citing "Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks"

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Title
A Survey of Neural Trojan Attacks and Defenses in Deep Learning Jie Wang Ghulam Mubashar Hassan Naveed Akhtar AAML 178 27 0 15 Feb 2022
Training with More Confidence: Mitigating Injected and Natural Backdoors During TrainingNeural Information Processing Systems (NeurIPS), 2022 Zhenting Wang Hailun Ding Juan Zhai Shiqing Ma AAML 303 55 0 13 Feb 2022
Progressive Backdoor Erasing via connecting Backdoor and Adversarial AttacksComputer Vision and Pattern Recognition (CVPR), 2022 Bingxu Mu Zhenxing Niu Le Wang Qingsong Wen Rong Jin G. Hua AAML 140 24 0 13 Feb 2022
TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel CodingAsia-Pacific Computer Systems Architecture Conference (ACSA), 2022 Giulio Pagnotta Dorjan Hitaj Briland Hitaj Fernando Perez-Cruz L. Mancini 221 9 0 12 Feb 2022
Constrained Optimization with Dynamic Bound-scaling for Effective NLPBackdoor DefenseInternational Conference on Machine Learning (ICML), 2022 Guangyu Shen Yingqi Liu Guanhong Tao Qiuling Xu Zhuo Zhang Shengwei An Shiqing Ma Xinming Zhang AAML 220 52 0 11 Feb 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware ClassifiersIEEE Symposium on Security and Privacy (IEEE S&P), 2022 Limin Yang Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang AAML 277 44 0 11 Feb 2022
Backdoor Defense via Decoupling the Training ProcessInternational Conference on Learning Representations (ICLR), 2022 Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 158 232 0 05 Feb 2022
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks Muhammad Usman Youcheng Sun D. Gopinath C. Păsăreanu AAML 113 1 0 31 Jan 2022
Backdoor Defense with Machine UnlearningIEEE Conference on Computer Communications (INFOCOM), 2022 Yang Liu Mingyuan Fan Cen Chen Ximeng Liu Zhuo Ma Li Wang Jianfeng Ma AAML 177 97 0 24 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack ScenariosInternational Conference on Learning Representations (ICLR), 2022 Zhen Xiang David J. Miller G. Kesidis AAML 193 48 0 20 Jan 2022
Rethink the Evaluation for Attack Strength of Backdoor Attacks in Natural Language Processing Lingfeng Shen Haiyun Jiang Lemao Liu Shuming Shi ELM 114 1 0 09 Jan 2022
FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis Yu Feng Benteng Ma Jing Zhang Shanshan Zhao Yong-quan Xia Dacheng Tao AAML 254 97 0 02 Dec 2021
Backdoor Attack through Frequency Domain Tong Wang Xingtai Lv Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 237 40 0 22 Nov 2021
An Overview of Backdoor Attacks Against Deep Neural Networks and Possible Defences Wei Guo B. Tondi Mauro Barni AAML 262 94 0 16 Nov 2021
Enhancing Backdoor Attacks with Multi-Level MMD RegularizationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021 Pengfei Xia Hongjing Niu Wandi Qiao Bin Li AAML 209 35 0 09 Nov 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 228 342 0 27 Oct 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned DataNeural Information Processing Systems (NeurIPS), 2021 Yige Li X. Lyu Nodens Koren Lingjuan Lyu Yue Liu Jiabo He OnRL 305 399 0 22 Oct 2021
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models Wenkai Yang Yankai Lin Peng Li Jie Zhou Xu Sun SILM AAML 228 137 0 15 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 301 212 0 07 Oct 2021
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks Kiran Karra C. Ashcraft Cash Costello AAML 217 0 0 09 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang Lingjuan Lyu Weiqiang Wang Lichao Sun Xu Sun 176 39 0 03 Sep 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 409 28 0 20 Aug 2021
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better Bojia Zi Shihao Zhao Jiabo He Yu-Gang Jiang AAML 166 121 0 18 Aug 2021
Evaluating the Robustness of Trigger Set-Based Watermarks Embedded in Deep Neural NetworksIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2021 Suyoung Lee Wonho Song Suman Jana M. Cha Sooel Son AAML 167 17 0 18 Jun 2021
Accumulative Poisoning Attacks on Real-time DataNeural Information Processing Systems (NeurIPS), 2021 Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu 200 22 0 18 Jun 2021
MISA: Online Defense of Trojaned Models using MisattributionsAsia-Pacific Computer Systems Architecture Conference (ACSA), 2021 Panagiota Kiourti Wenchao Li Anirban Roy Karan Sikka Susmit Jha 229 10 0 29 Mar 2021
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial TrainingNeural Information Processing Systems (NeurIPS), 2021 Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 435 81 0 09 Feb 2021
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-Level Backdoor AttacksMachine Intelligence Research (MIR), 2021 Zhengyan Zhang Guangxuan Xiao Yongwei Li Tian Lv Fanchao Qi Zhiyuan Liu Yasheng Wang Xin Jiang Maosong Sun AAML 269 82 0 18 Jan 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Jiabo He Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 555 465 0 07 Dec 2020
Backdoor Learning: A SurveyIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 557 733 0 17 Jul 2020
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods? Kaidi Jin Tianwei Zhang Chao Shen Yufei Chen Ming Fan Chenhao Lin Ting Liu AAML 91 16 0 26 Jun 2020
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural NetworksComputers & security (CS), 2020 Kathrin Grosse Taesung Lee Battista Biggio Youngja Park Michael Backes Ian Molloy AAML 152 13 0 11 Jun 2020
NNoculation: Catching BadNets in the Wild A. Veldanda Kang Liu Benjamin Tan Prashanth Krishnamurthy Farshad Khorrami Ramesh Karri Brendan Dolan-Gavitt S. Garg AAML OnRL 197 21 0 19 Feb 2020

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