CBD: A Certified Backdoor Detector Based on Local Dominant Probability

26 October 2023

Papers citing "CBD: A Certified Backdoor Detector Based on Local Dominant Probability"

7 / 7 papers shown

Title
Cert-SSB: Toward Certified Sample-Specific Backdoor Defense Ting Qiao Yixuan Wang Xing Liu Sixing Wu Jianbing Li Yiming Li AAML SILM 66 0 0 30 Apr 2025
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents Hanrong Zhang Jingyuan Huang Kai Mei Yifei Yao Zhenting Wang Chenlu Zhan Hongwei Wang Yongfeng Zhang AAML LLMAG ELM 51 20 0 03 Oct 2024
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 126 97 0 26 May 2022
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic Hang Wang Zhen Xiang David J. Miller G. Kesidis AAML 32 41 0 13 May 2022
Test-Time Detection of Backdoor Triggers for Poisoned Deep Neural Networks Xi Li Zhen Xiang David J. Miller G. Kesidis AAML 120 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 40 15 0 20 Oct 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018