Can Adversarial Weight Perturbations Inject Neural Backdoors?

4 August 2020

Papers citing "Can Adversarial Weight Perturbations Inject Neural Backdoors?"

50 / 56 papers shown

Title
Detecting Discrepancies Between AI-Generated and Natural Images Using Uncertainty Jun Nie Yonggang Zhang Tongliang Liu Y. Cheung Bo Han Xinmei Tian UQCV 83 0 0 08 Dec 2024
Solving Trojan Detection Competitions with Linear Weight Classification Todd P. Huster Peter Lin Razvan Stefanescu E. Ekwedike R. Chadha AAML 21 0 0 05 Nov 2024
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models Yige Li Hanxun Huang Jiaming Zhang Xingjun Ma Yu-Gang Jiang AAML 28 2 0 25 Oct 2024
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models Cody Clop Yannick Teglia AAML SILM RALM 40 2 0 18 Oct 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 18 3 0 20 Sep 2024
A Practical Trigger-Free Backdoor Attack on Neural Networks Jiahao Wang Xianglong Zhang Xiuzhen Cheng Pengfei Hu Guoming Zhang AAML 34 0 0 21 Aug 2024
DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers Camilo A. Mart´ınez-Mej´ıa Jesus Solano J. Breier Dominik Bucko Xiaolu Hou AAML 17 0 0 30 Jul 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors Hoang Pham The-Anh Ta Anh Tran Khoa D. Doan FedML AAML 26 0 0 20 Jul 2024
Magnitude-based Neuron Pruning for Backdoor Defens Nan Li Haoyu Jiang Ping Yi AAML 19 1 0 28 May 2024
Rethinking Pruning for Backdoor Mitigation: An Optimization Perspective Nan Li Haiyang Yu Ping Yi AAML 21 0 0 28 May 2024
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection Saket S. Chaturvedi Lan Zhang Wenbin Zhang Pan He Xiaoyong Yuan 3DPC 45 0 0 06 May 2024
BadEdit: Backdooring large language models by model editing Yanzhou Li Tianlin Li Kangjie Chen Jian Zhang Shangqing Liu Wenhan Wang Tianwei Zhang Yang Liu SyDa AAML KELM 51 50 0 20 Mar 2024
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency Soumyadeep Pal Yuguang Yao Ren Wang Bingquan Shen Sijia Liu AAML 34 8 0 15 Mar 2024
Test-Time Backdoor Attacks on Multimodal Large Language Models Dong Lu Tianyu Pang Chao Du Qian Liu Xianjun Yang Min-Bin Lin AAML 51 21 0 13 Feb 2024
End-to-End Anti-Backdoor Learning on Images and Time Series Yujing Jiang Xingjun Ma S. Erfani Yige Li James Bailey 23 1 0 06 Jan 2024
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models Jiachen Zhou Peizhuo Lv Yibing Lan Guozhu Meng Kai Chen Hualong Ma AAML 21 7 0 18 Dec 2023
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 42 33 0 14 Dec 2023
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu Junyuan Hong Yi Zeng Fei Wang Ruoxi Jia Jiayu Zhou FedML 22 9 0 06 Dec 2023
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack Detection Renu Sharma Redwan Sony Arun Ross AAML 11 3 0 21 Nov 2023
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review Pengzhou Cheng Zongru Wu Wei Du Haodong Zhao Wei Lu Gongshen Liu SILM AAML 18 16 0 12 Sep 2023
Safe and Robust Watermark Injection with a Single OoD Image Shuyang Yu Junyuan Hong Haobo Zhang Haotao Wang Zhangyang Wang Jiayu Zhou WIGM 23 3 0 04 Sep 2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP Lu Yan Zhuo Zhang Guanhong Tao Kaiyuan Zhang Xuan Chen Guangyu Shen Xiangyu Zhang AAML SILM 46 16 0 04 Aug 2023
OVLA: Neural Network Ownership Verification using Latent Watermarks Feisi Fu Wenchao Li AAML 19 1 0 15 Jun 2023
Reconstructive Neuron Pruning for Backdoor Defense Yige Li X. Lyu Xingjun Ma Nodens Koren Lingjuan Lyu Bo-wen Li Yugang Jiang AAML 12 41 0 24 May 2023
Decision-based iterative fragile watermarking for model integrity verification Z. Yin Heng Yin Hang Su Xinpeng Zhang Zhenzhe Gao AAML 13 3 0 13 May 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 44 21 0 19 Feb 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 16 20 0 14 Feb 2023
Distilling Cognitive Backdoor Patterns within an Image Hanxun Huang Xingjun Ma S. Erfani James Bailey AAML 11 24 0 26 Jan 2023
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 19 13 0 09 Dec 2022
Backdoor Attacks on Time Series: A Generative Approach Yujing Jiang Xingjun Ma S. Erfani James Bailey AAML AI4TS 17 12 0 15 Nov 2022
Dormant Neural Trojans Feisi Fu Panagiota Kiourti Wenchao Li AAML 11 0 0 02 Nov 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization Zhiyuan Zhang Ruixuan Luo Qi Su Xueting Sun 19 11 0 13 Oct 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation Zhiyuan Zhang Qi Su Xu Sun FedML 13 12 0 13 Oct 2022
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork Haotao Wang Junyuan Hong Aston Zhang Jiayu Zhou Zhangyang Wang AAML 23 12 0 12 Oct 2022
Attention Hijacking in Trojan Transformers Weimin Lyu Songzhu Zheng Teng Ma Haibin Ling Chao Chen 27 6 0 09 Aug 2022
A Study of the Attention Abnormality in Trojaned BERTs Weimin Lyu Songzhu Zheng Teng Ma Chao Chen 51 55 0 13 May 2022
Towards A Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures Huming Qiu Hua Ma Zhi-Li Zhang A. Abuadbba Wei Kang Anmin Fu Yansong Gao ELM AAML 11 15 0 13 Apr 2022
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers Evan Crothers Nathalie Japkowicz H. Viktor Paula Branco AAML DeLMO 11 27 0 02 Mar 2022
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes Sanghyun Hong Michael-Andrei Panaitescu-Liess Yigitcan Kaya Tudor Dumitras MQ 42 13 0 26 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 17 102 0 15 Oct 2021
Don't Knock! Rowhammer at the Backdoor of DNN Models M. Tol Saad Islam Andrew J. Adiletta B. Sunar Ziming Zhang AAML 17 15 0 14 Oct 2021
Adversarial Unlearning of Backdoors via Implicit Hypergradient Yi Zeng Si-An Chen Won Park Z. Morley Mao Ming Jin R. Jia AAML 20 172 0 07 Oct 2021
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models Kangjie Chen Yuxian Meng Xiaofei Sun Shangwei Guo Tianwei Zhang Jiwei Li Chun Fan SILM 13 105 0 06 Oct 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data Zhiyuan Zhang Lingjuan Lyu Weiqiang Wang Lichao Sun Xu Sun 11 34 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 20 19 0 20 Aug 2021
Accumulative Poisoning Attacks on Real-time Data Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu 24 20 0 18 Jun 2021
Handcrafted Backdoors in Deep Neural Networks Sanghyun Hong Nicholas Carlini Alexey Kurakin 11 71 0 08 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Fei Wu Jiwei Li Tianwei Zhang AAML SILM 11 47 0 03 Jun 2021
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations Enmao Diao Jie Ding Vahid Tarokh FedML 17 16 0 02 Jun 2021
Robust Backdoor Attacks against Deep Neural Networks in Real Physical World Mingfu Xue Can He Shichang Sun Jian Wang Weiqiang Liu AAML 16 43 0 15 Apr 2021