TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors

16 December 2020

Papers citing "TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors"

45 / 45 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 192 30,069 0 01 Mar 2022
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 53 191 0 13 Dec 2020
Trojaning Language Models for Fun and Profit Xinyang Zhang Zheng Zhang Shouling Ji Ting Wang SILM AAML 38 135 0 01 Aug 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 78 595 0 17 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 84 510 0 05 Jul 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Xia Hu AAML 41 185 0 15 Jun 2020
Blind Backdoors in Deep Learning Models Eugene Bagdasaryan Vitaly Shmatikov AAML FedML SILM 65 300 0 08 May 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 120 440 0 14 Apr 2020
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Yue Liu AAML 46 161 0 19 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 97 275 0 07 Mar 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 57 312 0 14 Feb 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 32 39 0 14 Jan 2020
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations Xijie Huang M. Alzantot Mani B. Srivastava AAML 45 105 0 18 Nov 2019
Detecting AI Trojans Using Meta Neural Analysis Xiaojun Xu Qi Wang Huichen Li Nikita Borisov Carl A. Gunter Yue Liu 62 322 0 08 Oct 2019
Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization Shaofeng Li Minhui Xue Benjamin Zi Hao Zhao Haojin Zhu Dali Kaafar 32 59 0 06 Sep 2019
Model Agnostic Defence against Backdoor Attacks in Machine Learning Sakshi Udeshi Shanshan Peng Gerald Woo Lionell Loh Louth Rawshan Sudipta Chattopadhyay AAML 38 104 0 06 Aug 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems Wenbo Guo Lun Wang Masashi Sugiyama Min Du D. Song 55 228 0 02 Aug 2019
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection Di Tang Xiaofeng Wang Haixu Tang Kehuan Zhang AAML 43 198 0 02 Aug 2019
Bypassing Backdoor Detection Algorithms in Deep Learning T. Tan Reza Shokri FedML AAML 63 150 0 31 May 2019
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets Chen Zhu Wenjie Huang Ali Shafahi Hengduo Li Gavin Taylor Christoph Studer Tom Goldstein 69 284 0 15 May 2019
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents Panagiota Kiourti Kacper Wardega Susmit Jha Wenchao Li AAML 39 51 0 01 Mar 2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks Yansong Gao Chang Xu Derui Wang Shiping Chen Damith C. Ranasinghe Surya Nepal AAML 66 801 0 18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 111 2,018 0 08 Feb 2019
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 79 169 0 03 Dec 2018
Model-Reuse Attacks on Deep Learning Systems Yujie Ji Xinyang Zhang S. Ji Xiapu Luo Ting Wang SILM AAML 172 186 0 02 Dec 2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering Bryant Chen Wilka Carvalho Wenjie Li Heiko Ludwig Benjamin Edwards Chengyao Chen Ziqiang Cao Biplav Srivastava AAML 77 786 0 09 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li Aleksander Madry AAML 70 778 0 01 Nov 2018
How To Backdoor Federated Learning Eugene Bagdasaryan Andreas Veit Yiqing Hua D. Estrin Vitaly Shmatikov SILM FedML 73 1,892 0 02 Jul 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks Kang Liu Brendan Dolan-Gavitt S. Garg AAML 61 1,028 0 30 May 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks Ali Shafahi Wenjie Huang Mahyar Najibi Octavian Suciu Christoph Studer Tudor Dumitras Tom Goldstein AAML 80 1,080 0 03 Apr 2018
Technical Report: When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks Octavian Suciu R. Marginean Yigitcan Kaya Hal Daumé Tudor Dumitras AAML 75 287 0 19 Mar 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 84 1,822 0 15 Dec 2017
One pixel attack for fooling deep neural networks Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 103 2,315 0 24 Oct 2017
VGGFace2: A dataset for recognising faces across pose and age Qiong Cao Li Shen Weidi Xie Omkar M. Parkhi Andrew Zisserman CVBM 81 2,617 0 23 Oct 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 82 1,758 0 22 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 238 11,962 0 19 Jun 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 75 751 0 09 Jun 2017
Robustness of classifiers to universal perturbations: a geometric perspective Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard Stefano Soatto AAML 56 118 0 26 May 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 38 1,205 0 25 May 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 60 1,514 0 11 Apr 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 230 19,796 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 673 36,599 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 169 8,309 0 06 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014