MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary
Backdoor Pattern Types Using a Maximum Margin Statistic

MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic

13 May 2022

David J. Miller

Papers citing "MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic"

10 / 10 papers shown

Title
Lie Detector: Unified Backdoor Detection via Cross-Examination Framework X. U. Wang Siyuan Liang Dongping Liao Han Fang Aishan Liu Xiaochun Cao Yu-liang Lu E. Chang X. Gao AAML 48 1 0 21 Mar 2025
Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning Zhifang Zhang Shuo He Bingquan Shen Lei Feng Lei Feng AAML 36 0 0 29 Dec 2024
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning Yukai Xu Yujie Gu Kouichi Sakurai AAML 13 0 0 18 Sep 2024
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 21 7 0 12 Sep 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 112 97 0 26 May 2022
Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li Haoxiang Zhong Xingjun Ma Yong Jiang Shutao Xia AAML 34 53 0 31 Jan 2022
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks Xi Li Zhen Xiang David J. Miller G. Kesidis AAML 30 13 0 06 Dec 2021
Detecting Backdoor Attacks Against Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 32 15 0 20 Oct 2021
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 84 50 0 13 Oct 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 159 284 0 02 Dec 2018