Black-box Detection of Backdoor Attacks with Limited Information and Data

24 March 2021

Yinpeng Dong

Hang Su

Jun Zhu

AAML

ArXiv PDF HTML

Papers citing "Black-box Detection of Backdoor Attacks with Limited Information and Data"

24 / 24 papers shown

Title
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 83 0 0 22 Dec 2024
Imperceptible Rhythm Backdoor Attacks: Exploring Rhythm Transformation for Embedding Undetectable Vulnerabilities on Speech Recognition Wenhan Yao Jiangkun Yang yongqiang He Jia Liu Weiping Wen 38 1 0 16 Jun 2024
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack Viet Vo Ehsan Abbasnejad D. Ranasinghe AAML 33 5 0 08 Apr 2024
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger Yiming Li Mingyan Zhu Junfeng Guo Tao Wei Shu-Tao Xia Zhan Qin AAML 66 1 0 03 Dec 2023
XGBD: Explanation-Guided Graph Backdoor Detection Zihan Guan Mengnan Du Ninghao Liu AAML 26 9 0 08 Aug 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
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
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
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal Nishad Singhi Yu Yang Fan Yin Aditya Grover Kai-Wei Chang AAML 31 42 0 06 Mar 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions Marwan Omar SILM AAML 28 20 0 14 Feb 2023
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data Gorka Abad Oguzhan Ersoy S. Picek A. Urbieta AAML 23 17 0 13 Feb 2023
Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks Xiaoyun Xu Oguzhan Ersoy S. Picek AAML 21 2 0 01 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 26 10 0 28 Jan 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition Hasan Hammoud Shuming Liu Mohammad Alkhrashi Fahad Albalawi Bernard Ghanem AAML 32 8 0 03 Jan 2023
Backdoor Mitigation in Deep Neural Networks via Strategic Retraining Akshay Dhonthi E. M. Hahn Vahid Hashemi AAML 19 2 0 14 Dec 2022
Selective Amnesia: On Efficient, High-Fidelity and Blind Suppression of Backdoor Effects in Trojaned Machine Learning Models Rui Zhu Di Tang Siyuan Tang XiaoFeng Wang Haixu Tang AAML FedML 29 13 0 09 Dec 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 38 12 0 04 Aug 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 14 5 0 20 Apr 2022
Backdoor Defense via Decoupling the Training Process Kunzhe Huang Yiming Li Baoyuan Wu Zhan Qin Kui Ren AAML FedML 21 185 0 05 Feb 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 28 47 0 20 Jan 2022
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo Ang Li Cong Liu AAML 45 74 0 28 Oct 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
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 190 274 0 06 Mar 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018