TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

2 August 2019

Papers citing "TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems"

50 / 66 papers shown

Title
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation Haiyang Yu Tian Xie Jiaping Gui Pengyang Wang P. Yi Yue Wu 56 1 0 17 Nov 2024
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection Wei Li Pin-Yu Chen Sijia Liu Ren Wang AAML 49 3 0 09 Jun 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 35 28 0 20 Mar 2024
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models Boyang Zhang Zheng Li Ziqing Yang Xinlei He Michael Backes Mario Fritz Yang Zhang 33 4 0 19 Oct 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 39 11 0 13 Jun 2023
UNICORN: A Unified Backdoor Trigger Inversion Framework Zhenting Wang Kai Mei Juan Zhai Shiqing Ma LLMSV 39 44 0 05 Apr 2023
Did You Train on My Dataset? Towards Public Dataset Protection with Clean-Label Backdoor Watermarking Ruixiang Tang Qizhang Feng Ninghao Liu Fan Yang Xia Hu 26 36 0 20 Mar 2023
Single Image Backdoor Inversion via Robust Smoothed Classifiers Mingjie Sun Zico Kolter AAML 23 12 0 01 Mar 2023
Gradient Shaping: Enhancing Backdoor Attack Against Reverse Engineering Rui Zhu Di Tang Siyuan Tang Guanhong Tao Shiqing Ma Xiaofeng Wang Haixu Tang DD 23 3 0 29 Jan 2023
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing Jiali Wei Ming Fan Wenjing Jiao Wuxia Jin Ting Liu AAML 29 11 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 24 14 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 34 8 0 03 Jan 2023
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks Zeyang Sha Xinlei He Pascal Berrang Mathias Humbert Yang Zhang AAML 13 33 0 18 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 37 13 0 09 Dec 2022
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning Marissa Connor Vincent Emanuele SILM AAML 25 1 0 05 Dec 2022
Dormant Neural Trojans Feisi Fu Panagiota Kiourti Wenchao Li AAML 30 0 0 02 Nov 2022
Training set cleansing of backdoor poisoning by self-supervised representation learning H. Wang Soroush Karami Ousmane Amadou Dia H. Ritter E. Emamjomeh-Zadeh J. Chen Zhen Xiang D. J. Miller G. Kesidis SSL 32 4 0 19 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? Yi Zeng Minzhou Pan Himanshu Jahagirdar Ming Jin Lingjuan Lyu R. Jia AAML 39 21 0 12 Oct 2022
Understanding Impacts of Task Similarity on Backdoor Attack and Detection Di Tang Rui Zhu Xiaofeng Wang Haixu Tang Yi Chen AAML 24 5 0 12 Oct 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
Backdoor Attacks on Bayesian Neural Networks using Reverse Distribution Zhixin Pan Prabhat Mishra AAML 15 4 0 18 May 2022
VPN: Verification of Poisoning in Neural Networks Youcheng Sun Muhammad Usman D. Gopinath C. Păsăreanu AAML 39 2 0 08 May 2022
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 22 169 0 11 Apr 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 36 7 0 28 Jan 2022
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models Siddhartha Datta N. Shadbolt SILM AAML AI4CE 25 2 0 24 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 39 47 0 20 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 37 21 0 12 Jan 2022
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks Xiangyu Qi Tinghao Xie Ruizhe Pan Jifeng Zhu Yong-Liang Yang Kai Bu AAML 33 57 0 25 Nov 2021
Backdoor Attack through Frequency Domain Tong Wang Yuan Yao Feng Xu Shengwei An Hanghang Tong Ting Wang AAML 24 33 0 22 Nov 2021
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis Junfeng Guo Ang Li Cong Liu AAML 59 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 40 15 0 20 Oct 2021
Trigger Hunting with a Topological Prior for Trojan Detection Xiaoling Hu Xiaoyu Lin Michael Cogswell Yi Yao Susmit Jha Chao Chen AAML 24 46 0 15 Oct 2021
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain Hasan Hammoud Guohao Li AAML 18 13 0 12 Sep 2021
Quantization Backdoors to Deep Learning Commercial Frameworks Hua Ma Huming Qiu Yansong Gao Zhi-Li Zhang A. Abuadbba Minhui Xue Anmin Fu Jiliang Zhang S. Al-Sarawi Derek Abbott MQ 38 19 0 20 Aug 2021
BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning Jinyuan Jia Yupei Liu Neil Zhenqiang Gong SILM SSL 39 151 0 01 Aug 2021
Topological Detection of Trojaned Neural Networks Songzhu Zheng Yikai Zhang H. Wagner Mayank Goswami Chao Chen AAML 29 40 0 11 Jun 2021
Defending Against Backdoor Attacks in Natural Language Generation Xiaofei Sun Xiaoya Li Yuxian Meng Xiang Ao Fei Wu Jiwei Li Tianwei Zhang AAML SILM 31 47 0 03 Jun 2021
Hidden Backdoors in Human-Centric Language Models Shaofeng Li Hui Liu Tian Dong Benjamin Zi Hao Zhao Minhui Xue Haojin Zhu Jialiang Lu SILM 35 147 0 01 May 2021
A Backdoor Attack against 3D Point Cloud Classifiers Zhen Xiang David J. Miller Siheng Chen Xi Li G. Kesidis 3DPC AAML 33 76 0 12 Apr 2021
Black-box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong Xiao Yang Zhijie Deng Tianyu Pang Zihao Xiao Hang Su Jun Zhu AAML 21 112 0 24 Mar 2021
TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation Todd P. Huster E. Ekwedike SILM 33 19 0 18 Mar 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry Yingqi Liu Guangyu Shen Guanhong Tao Zhenting Wang Shiqing Ma Xinming Zhang AAML 30 8 0 16 Mar 2021
T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification A. Azizi I. A. Tahmid Asim Waheed Neal Mangaokar Jiameng Pu M. Javed Chandan K. Reddy Bimal Viswanath AAML 25 76 0 07 Mar 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization Guangyu Shen Yingqi Liu Guanhong Tao Shengwei An Qiuling Xu Shuyang Cheng Shiqing Ma Xinming Zhang AAML 39 117 0 09 Feb 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification Shuyang Cheng Yingqi Liu Shiqing Ma Xinming Zhang AAML 31 154 0 21 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 27 270 0 18 Dec 2020
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors Ren Pang Zheng-Wei Zhang Xiangshan Gao Zhaohan Xi S. Ji Peng Cheng Xiapu Luo Ting Wang AAML 29 31 0 16 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 24 191 0 13 Dec 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 33 14 0 04 Nov 2020
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing Zhen Xiang David J. Miller G. Kesidis 29 22 0 15 Oct 2020