Adversarial Unlearning of Backdoors via Implicit Hypergradient

7 October 2021

Yi Zeng

Si-An Chen

Won Park

Z. Morley Mao

Ming Jin

R. Jia

AAML

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Papers citing "Adversarial Unlearning of Backdoors via Implicit Hypergradient"

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Title
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets Yuhang Zhang Yuxuan Zhou Tianyu Li Minghui Li Shengshan Hu Wei Luo L. Zhang AAML SILM 43 0 0 16 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 45 0 0 02 Mar 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning Mingyuan Fan Zhanyi Hu Fuyi Wang Cen Chen SILM 41 0 0 22 Jan 2025
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 53 1 0 17 Nov 2024
AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment Pankayaraj Pathmanathan Udari Madhushani Sehwag Michael-Andrei Panaitescu-Liess Furong Huang SILM AAML 43 0 0 15 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 36 4 0 13 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 36 0 0 29 Sep 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 29 3 0 20 Sep 2024
NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise Abdullah Arafat Miah Kaan Icer Resit Sendag Yu Bi AAML DiffM 33 1 0 03 Sep 2024
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks Zhenxing Niu Yuyao Sun Qiguang Miao Rong Jin Gang Hua AAML 38 6 0 28 May 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 29 9 0 08 Aug 2023
Backdoor Learning on Sequence to Sequence Models Lichang Chen Minhao Cheng Heng-Chiao Huang SILM 54 18 0 03 May 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework Zhenting Wang Kai Mei Juan Zhai Shiqing Ma LLMSV 32 44 0 05 Apr 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder Tao Sun Lu Pang Chao Chen Haibin Ling AAML 43 9 0 27 Mar 2023
Black-box Backdoor Defense via Zero-shot Image Purification Yucheng Shi Mengnan Du Xuansheng Wu Zihan Guan Jin Sun Ninghao Liu 40 28 0 21 Mar 2023
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal Nishad Singhi Yu Yang Fan Yin Aditya Grover Kai-Wei Chang AAML 34 42 0 06 Mar 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 22 20 0 27 Feb 2023
Defending Against Backdoor Attacks by Layer-wise Feature Analysis N. Jebreel J. Domingo-Ferrer Yiming Li AAML 25 10 0 24 Feb 2023
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms Minzhou Pan Yi Zeng Lingjuan Lyu X. Lin R. Jia AAML 29 35 0 22 Feb 2023
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning Soumyadeep Pal Ren Wang Yuguang Yao Sijia Liu 45 6 0 20 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition Hasan Hammoud Shuming Liu Mohammad Alkhrashi Fahad Albalawi Guohao Li AAML 32 8 0 03 Jan 2023
Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing Tian Dong Ziyuan Zhang Han Qiu Tianwei Zhang Hewu Li T. Wang AAML 28 6 0 22 Dec 2022
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models Rui Zhu Di Tang Siyuan Tang Xiaofeng Wang Haixu Tang AAML FedML 31 13 0 09 Dec 2022
Backdoor Cleansing with Unlabeled Data Lu Pang Tao Sun Haibin Ling Chao Chen AAML 37 18 0 22 Nov 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? Yi Zeng Minzhou Pan Himanshu Jahagirdar Ming Jin Lingjuan Lyu R. Jia AAML 36 21 0 12 Oct 2022
BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets Chen Gong Zhou Yang Yunru Bai Junda He Jieke Shi ... Arunesh Sinha Bowen Xu Xinwen Hou David Lo Guoliang Fan AAML OffRL 18 7 0 07 Oct 2022
Augmentation Backdoors J. Rance Yiren Zhao Ilia Shumailov Robert D. Mullins AAML SILM 53 7 0 29 Sep 2022
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons Mingyuan Fan Yang Liu Cen Chen Ximeng Liu Wenzhong Guo AAML 15 4 0 13 Aug 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 20 168 0 11 Apr 2022
On the Effectiveness of Adversarial Training against Backdoor Attacks Yinghua Gao Dongxian Wu Jingfeng Zhang Guanhao Gan Shutao Xia Gang Niu Masashi Sugiyama AAML 32 22 0 22 Feb 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 27 185 0 05 Feb 2022
Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li Haoxiang Zhong Xingjun Ma Yong Jiang Shutao Xia AAML 38 53 0 31 Jan 2022
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 196 274 0 06 Mar 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018