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
Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics Xiaoxing Mo Yechao Zhang Leo Yu Zhang Wei Luo Nan Sun Shengshan Hu Shang Gao Yang Xiang AAML 17 15 0 05 Dec 2023
Mendata: A Framework to Purify Manipulated Training Data Zonghao Huang Neil Zhenqiang Gong Michael K. Reiter 17 0 0 03 Dec 2023
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective Ming-Yu Chung Sheng-Yen Chou Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo Tsung-Yi Ho DD 39 6 0 28 Nov 2023
Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-training Objective Sahil Verma Gantavya Bhatt Avi Schwarzschild Soumye Singhal Arnav M. Das Chirag Shah John P Dickerson Jeff Bilmes J. Bilmes AAML 59 1 0 25 Nov 2023
BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning Siyuan Liang Mingli Zhu Aishan Liu Baoyuan Wu Xiaochun Cao Ee-Chien Chang 32 50 0 20 Nov 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots Ruixiang Tang Jiayi Yuan Yiming Li Zirui Liu Rui Chen Xia Hu AAML 36 13 0 28 Oct 2023
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks Xinglong Chang Katharina Dost Gill Dobbie Jörg Simon Wicker AAML 20 0 0 24 Oct 2023
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks Jun Xia Zhihao Yue Yingbo Zhou Zhiwei Ling Xian Wei Mingsong Chen AAML 21 0 0 17 Oct 2023
Towards Stable Backdoor Purification through Feature Shift Tuning Rui Min Zeyu Qin Li Shen Minhao Cheng AAML 40 21 0 03 Oct 2023
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense Hua Ma Shang Wang Yansong Gao Zhi-Li Zhang Huming Qiu Minhui Xue A. Abuadbba Anmin Fu Surya Nepal Derek Abbott AAML 19 6 0 01 Oct 2023
Invisible Watermarking for Audio Generation Diffusion Models Xirong Cao Xia Li D. Jadav Yanzhao Wu Zhehui Chen Chen Zeng Wenqi Wei WIGM 25 9 0 22 Sep 2023
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System Peixin Zhang Jun Sun Mingtian Tan Xinyu Wang AAML 32 4 0 12 Sep 2023
Towards Robust Model Watermark via Reducing Parametric Vulnerability Guanhao Gan Yiming Li Dongxian Wu Shu-Tao Xia AAML 19 12 0 09 Sep 2023
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection Tinghao Xie Xiangyu Qi Ping He Yiming Li Jiachen T. Wang Prateek Mittal AAML 23 9 0 23 Aug 2023
PatchBackdoor: Backdoor Attack against Deep Neural Networks without Model Modification Yizhen Yuan Rui Kong Shenghao Xie Yuanchun Li Yunxin Liu 13 7 0 22 Aug 2023
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation Yanxin Yang Ming Hu Yue Cao Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 26 6 0 22 Aug 2023
Backdoor Mitigation by Correcting the Distribution of Neural Activations Xi Li Zhen Xiang David J. Miller G. Kesidis AAML 11 0 0 18 Aug 2023
Test-Time Backdoor Defense via Detecting and Repairing Jiyang Guan Jian Liang R. He AAML 28 0 0 11 Aug 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 26 9 0 08 Aug 2023
TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models Indranil Sur Karan Sikka Matthew Walmer K. Koneripalli Anirban Roy Xiaoyu Lin Ajay Divakaran Susmit Jha 24 8 0 07 Aug 2023
Beating Backdoor Attack at Its Own Game Min Liu Alberto L. Sangiovanni-Vincentelli Xiangyu Yue AAML 65 11 0 28 Jul 2023
Adversarial Feature Map Pruning for Backdoor Dong Huang Qingwen Bu AAML 27 4 0 21 Jul 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples Shaokui Wei Mingda Zhang H. Zha Baoyuan Wu TPM 18 35 0 20 Jul 2023
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy Zihao Zhu Mingda Zhang Shaokui Wei Li Shen Yanbo Fan Baoyuan Wu AAML SILM 44 9 0 14 Jul 2023
On the Cause of Unfairness: A Training Sample Perspective Yuanshun Yao Yang Liu TDI 31 0 0 30 Jun 2023
Efficient Backdoor Removal Through Natural Gradient Fine-tuning Nazmul Karim Abdullah Al Arafat Umar Khalid Zhishan Guo Naznin Rahnavard AAML 26 1 0 30 Jun 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks Ziqiang Li Hong Sun Pengfei Xia Beihao Xia Xue Rui Wei Zhang Qinglang Guo Bin Li AAML 32 8 0 14 Jun 2023
DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation Zhicong Yan Shenghong Li Ruijie Zhao Yuan Tian Yuanyuan Zhao AAML 36 11 0 13 Jun 2023
Exploring Model Dynamics for Accumulative Poisoning Discovery Jianing Zhu Xiawei Guo Jiangchao Yao Chao Du Li He Shuo Yuan Tongliang Liu Liang Wang Bo Han AAML 16 0 0 06 Jun 2023
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers Junyuan Hong Yi Zeng Shuyang Yu Lingjuan Lyu R. Jia Jiayu Zhou AAML 11 8 0 04 Jun 2023
Forgettable Federated Linear Learning with Certified Data Removal Rui Jin Minghui Chen Qiong Zhang Xiaoxiao Li MU 8 0 0 03 Jun 2023
Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers Ruotong Wang Hongrui Chen Zihao Zhu Li Liu Baoyuan Wu DiffM 30 11 0 01 Jun 2023
Differentially-Private Decision Trees and Provable Robustness to Data Poisoning D. Vos Jelle Vos Tianyu Li Z. Erkin S. Verwer FedML 11 1 0 24 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 34 21 0 24 May 2023
Reconstructive Neuron Pruning for Backdoor Defense Yige Li X. Lyu Xingjun Ma Nodens Koren Lingjuan Lyu Bo-wen Li Yugang Jiang AAML 27 41 0 24 May 2023
Backdoor Attack with Sparse and Invisible Trigger Yinghua Gao Yiming Li Xueluan Gong Zhifeng Li Shutao Xia Qianqian Wang AAML 13 20 0 11 May 2023
Pick your Poison: Undetectability versus Robustness in Data Poisoning Attacks Nils Lukas Florian Kerschbaum 28 1 0 07 May 2023
Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization Mingli Zhu Shaokui Wei Li Shen Yanbo Fan Baoyuan Wu AAML 36 51 0 24 Apr 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework Zhenting Wang Kai Mei Juan Zhai Shiqing Ma LLMSV 27 44 0 05 Apr 2023
Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning Ajinkya Tejankar Maziar Sanjabi Qifan Wang Sinong Wang Hamed Firooz Hamed Pirsiavash L Tan AAML 30 19 0 04 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
Backdoor Defense via Adaptively Splitting Poisoned Dataset Kuofeng Gao Yang Bai Jindong Gu Yong-Liang Yang Shutao Xia AAML 18 49 0 23 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
Backdoor Defense via Deconfounded Representation Learning Zaixin Zhang Qi Liu Zhicai Wang Zepu Lu Qingyong Hu AAML 49 39 0 13 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
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases Chong Fu Xuhong Zhang S. Ji Ting Wang Peng Lin Yanghe Feng Jianwei Yin AAML 33 10 0 28 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 26 35 0 22 Feb 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 31 182 0 20 Feb 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 35 34 0 19 Feb 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu Chen Chen Lingjuan Lyu Fangzhao Wu Sai Wu Gang Chen 25 13 0 13 Feb 2023