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Defending Neural Backdoors via Generative Distribution Modeling

10 October 2019

Papers citing "Defending Neural Backdoors via Generative Distribution Modeling"

50 / 107 papers shown

Title
Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks Yu Zhou Dian Zheng Qijie Mo Renjie Lu Kun-Yu Lin Wei-Shi Zheng MU 137 2 0 31 Mar 2025
Seal Your Backdoor with Variational Defense Ivan Sabolić Matej Grcić Sinisa Segvic AAML 460 0 0 11 Mar 2025
SecureGaze: Defending Gaze Estimation Against Backdoor Attacks Lingyu Du Yupei Liu Jinyuan Jia Guohao Lan AAML 75 0 0 27 Feb 2025
A Robust Attack: Displacement Backdoor Attack Yong Li Han Gao AAML 84 0 0 14 Feb 2025
PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT Environments Ajesh Koyatan Chathoth Stephen Lee 99 0 0 26 Jan 2025
Stealthy Backdoor Attack to Real-world Models in Android Apps Jiali Wei Ming Fan Xicheng Zhang Wenjing Jiao Haoran Wang Ting Liu AAML 66 0 0 03 Jan 2025
A Backdoor Attack Scheme with Invisible Triggers Based on Model Architecture Modification Yuan Ma Xu Ma Jiankang Wei Jinmeng Tang Xiaoyu Zhang Yilun Lyu Kehao Chen Jingtong Huang 181 0 0 22 Dec 2024
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Dazhuang Liu Yanqi Qiao Rui Wang K. Liang Georgios Smaragdakis AAML 159 0 0 28 Nov 2024
Defending Deep Regression Models against Backdoor Attacks Lingyu Du Yupei Liu Jinyuan Jia Guohao Lan AAML 67 1 0 07 Nov 2024
Obliviate: Neutralizing Task-agnostic Backdoors within the Parameter-efficient Fine-tuning Paradigm Jaehan Kim Minkyoo Song S. Na Seungwon Shin AAML 60 1 0 21 Sep 2024
Persistent Backdoor Attacks in Continual Learning Zhen Guo Abhinav Kumar R. Tourani AAML 79 4 0 20 Sep 2024
Backdoor Defense through Self-Supervised and Generative Learning Ivan Sabolić Ivan Grubišić Siniša Šegvić AAML 113 0 0 02 Sep 2024
Protecting against simultaneous data poisoning attacks Neel Alex Shoaib Ahmed Siddiqui Amartya Sanyal David M. Krueger AAML 95 2 0 23 Aug 2024
A Practical Trigger-Free Backdoor Attack on Neural Networks Jiahao Wang Xianglong Zhang Xiuzhen Cheng Pengfei Hu Guoming Zhang AAML 72 0 0 21 Aug 2024
Towards Physical World Backdoor Attacks against Skeleton Action Recognition Qichen Zheng Yi Yu Siyuan Yang Jun Liu Kwok-Yan Lam Alex C. Kot AAML 83 4 0 16 Aug 2024
A Survey of Trojan Attacks and Defenses to Deep Neural Networks Lingxin Jin Xianyu Wen Wei Jiang Jinyu Zhan AAML 74 2 0 15 Aug 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 133 2 0 15 Jul 2024
Mitigating Backdoor Attacks using Activation-Guided Model Editing Felix Hsieh H. Nguyen AprilPyone Maungmaung Dmitrii Usynin Isao Echizen AAML KELM LLMSV 100 0 0 10 Jul 2024
NBA: defensive distillation for backdoor removal via neural behavior alignment Zonghao Ying Bin Wu AAML 50 10 0 16 Jun 2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning Songze Li Yanbo Dai AAML FedML 103 7 0 31 May 2024
Partial train and isolate, mitigate backdoor attack Yong Li Han Gao AAML 60 0 0 26 May 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 90 1 0 12 Apr 2024
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning Shuyang Cheng Guanhong Tao Yingqi Liu Guangyu Shen Shengwei An Shiwei Feng Xiangzhe Xu Kaiyuan Zhang Shiqing Ma Xiangyu Zhang AAML 68 5 0 25 Mar 2024
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm Yanqi Qiao Dazhuang Liu Rui Wang Kaitai Liang AAML 60 1 0 23 Feb 2024
Preference Poisoning Attacks on Reward Model Learning Junlin Wu Jiong Wang Chaowei Xiao Chenguang Wang Ning Zhang Yevgeniy Vorobeychik AAML 73 6 0 02 Feb 2024
UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks Bingyin Zhao Yingjie Lao AAML 65 1 0 17 Dec 2023
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 121 14 0 13 Dec 2023
TextGuard: Provable Defense against Backdoor Attacks on Text Classification Hengzhi Pei Jinyuan Jia Wenbo Guo Yue Liu Dawn Song SILM 52 12 0 19 Nov 2023
Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models Shawn Shan Wenxin Ding Josephine Passananti Stanley Wu Haitao Zheng Ben Y. Zhao SILM DiffM 106 53 0 20 Oct 2023
LMSanitator: Defending Prompt-Tuning Against Task-Agnostic Backdoors Chengkun Wei Wenlong Meng Zhikun Zhang M. Chen Ming-Hui Zhao Wenjing Fang Lei Wang Zihui Zhang Wenzhi Chen AAML 63 11 0 26 Aug 2023
DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack Binhao Ma Jiahui Wang Dejun Wang Bo Meng AAML 54 0 0 18 Aug 2023
Application of BadNets in Spam Filters Swagnik Roychoudhury A. Veldanda 20 0 0 18 Jul 2023
Differential Analysis of Triggers and Benign Features for Black-Box DNN Backdoor Detection Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 73 14 0 11 Jul 2023
Efficient Backdoor Removal Through Natural Gradient Fine-tuning Nazmul Karim Abdullah Al Arafat Umar Khalid Zhishan Guo Naznin Rahnavard AAML 63 1 0 30 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 76 12 0 13 Jun 2023
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs Hasan Hammoud Adel Bibi Philip Torr Guohao Li AAML 93 6 0 23 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun Zico Kolter AAML 64 13 0 01 Mar 2023
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing Jiali Wei Ming Fan Wenjing Jiao Wuxia Jin Ting Liu AAML 99 15 0 25 Jan 2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense Shuyang Cheng Guanhong Tao Yingqi Liu Shengwei An Xiangzhe Xu ... Guangyu Shen Kaiyuan Zhang Qiuling Xu Shiqing Ma Xiangyu Zhang AAML 91 17 0 16 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition Hasan Hammoud Shuming Liu Mohammad Alkhrashi Fahad Albalawi Guohao Li AAML 127 9 0 03 Jan 2023
Learned-Database Systems Security R. Schuster Jinyi Zhou Thorsten Eisenhofer Paul Grubbs Nicolas Papernot AAML 138 2 0 20 Dec 2022
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning Marissa Connor Vincent Emanuele SILM AAML 66 1 0 05 Dec 2022
Dormant Neural Trojans Feisi Fu Panagiota Kiourti Wenchao Li AAML 89 0 0 02 Nov 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class Khoa D. Doan Yingjie Lao Ping Li 86 41 0 17 Oct 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks Sishuo Chen Wenkai Yang Zhiyuan Zhang Xiaohan Bi Xu Sun SILM AAML 77 26 0 14 Oct 2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 118 5 0 12 Oct 2022
Universal Backdoor Attacks Detection via Adaptive Adversarial Probe Yuhang Wang Huafeng Shi Rui Min Ruijia Wu Siyuan Liang Yichao Wu Ding Liang Aishan Liu AAML 129 10 0 12 Sep 2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing Khoa D. Doan Yingjie Lao Peng Yang Ping Li AAML 80 21 0 24 Jun 2022
On the Permanence of Backdoors in Evolving Models Huiying Li A. Bhagoji Yuxin Chen Haitao Zheng Ben Y. Zhao AAML 81 2 0 08 Jun 2022
BadDet: Backdoor Attacks on Object Detection Shih-Han Chan Yinpeng Dong Junyi Zhu Xiaolu Zhang Jun Zhou AAML 65 58 0 28 May 2022