Anti-Backdoor Learning: Training Clean Models on Poisoned Data

22 October 2021

Papers citing "Anti-Backdoor Learning: Training Clean Models on Poisoned Data"

50 / 206 papers shown

Title
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted Shuaiwei Yuan Junyu Dong Yuezun Li AAML 24 0 0 13 May 2025
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models Soheil Zibakhsh Shabgahi Yaman Jandali F. Koushanfar MoMe AAML 54 0 0 06 May 2025
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models Kuofeng Gao Yufei Zhu Yiming Li Jiawang Bai Yong-Liang Yang Z. Li Shu-Tao Xia 41 0 0 05 May 2025
Backdoor Attacks Against Patch-based Mixture of Experts Cedric Chan Jona te Lintelo S. Picek AAML MoE 145 0 0 03 May 2025
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Y. Wang Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 66 0 0 30 Apr 2025
FFCBA: Feature-based Full-target Clean-label Backdoor Attacks Yangxu Yin H. Chen Yudong Gao Peng Sun Liantao Wu Z. Li W. Liu AAML 46 0 0 29 Apr 2025
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets Y. Zhang Yuxuan Zhou Tianyu Li Minghui Li Shengshan Hu Wei Luo L. Zhang AAML SILM 43 0 0 16 Apr 2025
Defending Deep Neural Networks against Backdoor Attacks via Module Switching Weijun Li Ansh Arora Xuanli He Mark Dras Qiongkai Xu AAML MoMe 47 0 0 08 Apr 2025
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Michael-Andrei Panaitescu-Liess Yigitcan Kaya Sicheng Zhu Furong Huang Tudor Dumitras AAML 37 0 0 02 Apr 2025
Prototype Guided Backdoor Defense Venkat Adithya Amula Sunayana Samavedam Saurabh Saini Avani Gupta Narayanan P J AAML 50 0 0 26 Mar 2025
C^2 ATTACK: Towards Representation Backdoor on CLIP via Concept Confusion Lijie Hu Junchi Liao Weimin Lyu Shaopeng Fu Tianhao Huang Shu Yang Guimin Hu Di Wang AAML 67 0 0 12 Mar 2025
Seal Your Backdoor with Variational Defense Ivan Sabolić Matej Grcić Sinisa Segvic AAML 150 0 0 11 Mar 2025
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features Mingli Zhu Shaokui Wei Hongyuan Zha Baoyuan Wu AAML 44 0 0 23 Feb 2025
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming Y. Chen Shuo Shao Enhao Huang Yiming Li Pin-Yu Chen Z. Qin Kui Ren AAML 49 3 0 22 Feb 2025
A Robust Attack: Displacement Backdoor Attack Yong Li Han Gao AAML 31 0 0 14 Feb 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 92 1 0 03 Jan 2025
Cut the Deadwood Out: Post-Training Model Purification with Selective Module Substitution Yao Tong Weijun Li Xuanli He Haolan Zhan Qiongkai Xu AAML 30 1 0 31 Dec 2024
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models Yuning Han Bingyin Zhao Rui Chu Feng Luo Biplab Sikdar Yingjie Lao DiffM AAML 75 1 0 16 Dec 2024
FLARE: Towards Universal Dataset Purification against Backdoor Attacks Linshan Hou Wei Luo Zhongyun Hua Songhua Chen L. Zhang Yiming Li AAML 70 0 0 29 Nov 2024
Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment Alvi Md Ishmam Christopher Thomas AAML 118 3 0 23 Nov 2024
Delta-Influence: Unlearning Poisons via Influence Functions Wenjie Li Jiawei Li Christian Schroeder de Witt Ameya Prabhu Amartya Sanyal TDI MU 92 0 0 20 Nov 2024
Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization Mingda Zhang Mingli Zhu Zihao Zhu Baoyuan Wu AAML 76 1 0 18 Nov 2024
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 50 1 0 17 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 33 2 0 25 Oct 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 24 1 0 15 Oct 2024
Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models Boheng Li Yanhao Wei Yankai Fu Z. Wang Yiming Li Jie Zhang Run Wang Tianwei Zhang DiffM AAML 24 9 0 14 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 31 4 0 13 Oct 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning Jiale Zhang Chengcheng Zhu Bosen Rao Hao Sui Xiaobing Sun Bing Chen Chunyi Zhou Shouling Ji AAML 33 0 0 02 Oct 2024
Using Interleaved Ensemble Unlearning to Keep Backdoors at Bay for Finetuning Vision Transformers Zeyu Michael Li AAML 21 0 0 01 Oct 2024
BadHMP: Backdoor Attack against Human Motion Prediction Chaohui Xu Si Wang Chip-Hong Chang AAML 33 0 0 29 Sep 2024
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats Kuanrong Liu Siyuan Liang Jiawei Liang Pengwen Dai Xiaochun Cao MU AAML 31 1 0 29 Sep 2024
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis Xianda Zhang Siyuan Liang AAML 28 2 0 24 Sep 2024
Adversarial Backdoor Defense in CLIP Junhao Kuang Siyuan Liang Jiawei Liang Kuanrong Liu Xiaochun Cao AAML 36 2 0 24 Sep 2024
Data-centric NLP Backdoor Defense from the Lens of Memorization Zhenting Wang Zhizhi Wang Mingyu Jin Mengnan Du Juan Zhai Shiqing Ma 31 3 0 21 Sep 2024
Data Poisoning and Leakage Analysis in Federated Learning Wenqi Wei Tiansheng Huang Zachary Yahn Anoop Singhal Margaret Loper Ling Liu FedML SILM 28 0 0 19 Sep 2024
CaBaGe: Data-Free Model Extraction using ClAss BAlanced Generator Ensemble Jonathan Rosenthal Shanchao Liang Kevin Zhang Lin Tan MIACV 32 0 0 16 Sep 2024
Backdoor Defense through Self-Supervised and Generative Learning Ivan Sabolić Ivan Grubišić Siniša Šegvić AAML 56 0 0 02 Sep 2024
Fisher Information guided Purification against Backdoor Attacks Nazmul Karim Abdullah Al Arafat Adnan Siraj Rakin Zhishan Guo Nazanin Rahnavard AAML 48 1 0 01 Sep 2024
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification Yungi Cho Woorim Han Miseon Yu Younghan Lee Ho Bae Y. Paek AAML FedML 30 0 0 28 Aug 2024
Protecting against simultaneous data poisoning attacks Neel Alex Shoaib Ahmed Siddiqui Amartya Sanyal David M. Krueger AAML 42 1 0 23 Aug 2024
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models Yige Li Hanxun Huang Yunhan Zhao Xingjun Ma Jun Sun AAML SILM 38 19 0 23 Aug 2024
BadMerging: Backdoor Attacks Against Model Merging Jinghuai Zhang Jianfeng Chi Zheng Li Kunlin Cai Yang Zhang Yuan Tian MoMe FedML AAML 39 14 0 14 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 34 0 0 30 Jul 2024
Flatness-aware Sequential Learning Generates Resilient Backdoors Hoang Pham The-Anh Ta Anh Tran Khoa D. Doan FedML AAML 34 0 0 20 Jul 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening Shuyang Cheng Guangyu Shen Kaiyuan Zhang Guanhong Tao Shengwei An Hanxi Guo Shiqing Ma Xiangyu Zhang AAML 25 0 0 16 Jul 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Quang H. Nguyen Nguyen Ngoc-Hieu The-Anh Ta Thanh Nguyen-Tang Kok-Seng Wong Hoang Thanh-Tung Khoa D. Doan AAML 33 2 0 15 Jul 2024
Augmented Neural Fine-Tuning for Efficient Backdoor Purification Nazmul Karim Abdullah Al Arafat Umar Khalid Zhishan Guo Nazanin Rahnavard AAML 40 0 0 14 Jul 2024
CBPF: Filtering Poisoned Data Based on Composite Backdoor Attack Hanfeng Xia Haibo Hong Ruili Wang AAML 57 0 0 23 Jun 2024
DLP: towards active defense against backdoor attacks with decoupled learning process Zonghao Ying Bin Wu AAML 44 6 0 18 Jun 2024
Federated Learning Optimization: A Comparative Study of Data and Model Exchange Strategies in Dynamic Networks Alka Luqman Yeow Wei Liang Brandon Anupam Chattopadhyay 20 0 0 16 Jun 2024