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

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

2 August 2019

Masashi Sugiyama

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

16 / 66 papers shown

Title
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases Ren Wang Gaoyuan Zhang Sijia Liu Pin-Yu Chen Jinjun Xiong Meng Wang AAML 33 148 0 31 Jul 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 30 26 0 28 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 220 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 589 0 17 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 28 13 0 16 Jul 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 31 200 0 25 Jun 2020
Backdoor Attacks to Graph Neural Networks Zaixi Zhang Jinyuan Jia Binghui Wang Neil Zhenqiang Gong GNN 24 211 0 19 Jun 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Xia Hu AAML 23 184 0 15 Jun 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 46 298 0 08 May 2020
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks Junfeng Guo Zelun Kong Cong Liu AAML 24 1 0 24 Mar 2020
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic Zhen Xiang David J. Miller Hang Wang G. Kesidis AAML 34 9 0 18 Nov 2019
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations Xijie Huang M. Alzantot Mani B. Srivastava AAML 17 103 0 18 Nov 2019
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data Xinyun Chen Wenxiao Wang Chris Bender Yiming Ding R. Jia Bo-wen Li D. Song AAML 27 107 0 17 Nov 2019
Detection of Backdoors in Trained Classifiers Without Access to the Training Set Zhen Xiang David J. Miller G. Kesidis AAML 22 23 0 27 Aug 2019
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems Bao Gia Doan Ehsan Abbasnejad Damith C. Ranasinghe AAML 27 66 0 09 Aug 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 173 287 0 02 Dec 2018