Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks

30 April 2023

Bo Han

ArXiv (abs)PDF HTML Github (3★)

Papers citing "Assessing Vulnerabilities of Adversarial Learning Algorithm through Poisoning Attacks"

28 / 28 papers shown

Title
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 62 59 0 13 Mar 2022
Data Poisoning Won't Save You From Facial Recognition Evani Radiya-Dixit Sanghyun Hong Nicholas Carlini Florian Tramèr AAML PICV 86 58 0 28 Jun 2021
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 96 136 0 21 Jun 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 68 166 0 17 Jun 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 236 194 0 13 Jan 2021
Geometry-aware Instance-reweighted Adversarial Training Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan Kankanhalli AAML 65 278 0 05 Oct 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 100 221 0 04 Sep 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 123 664 0 16 Jul 2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild Micah Goldblum Arjun Gupta John P. Dickerson Tom Goldstein AAML TDI 102 164 0 22 Jun 2020
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability H. Aghakhani Dongyu Meng Yu-Xiang Wang Christopher Kruegel Giovanni Vigna AAML 75 104 0 01 May 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 241 1,861 0 03 Mar 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 124 809 0 26 Feb 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger Jingfeng Zhang Xilie Xu Bo Han Gang Niu Li-zhen Cui Masashi Sugiyama Mohan S. Kankanhalli AAML 58 404 0 26 Feb 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations Florian Tramèr Jens Behrmann Nicholas Carlini Nicolas Papernot J. Jacobsen AAML SILM 60 93 0 11 Feb 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 142 1,181 0 12 Jan 2020
Label-Consistent Backdoor Attacks Alexander Turner Dimitris Tsipras Aleksander Madry AAML 79 389 0 05 Dec 2019
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder Ji Feng Qi-Zhi Cai Zhi Zhou AAML 66 105 0 22 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 96 285 0 15 May 2019
A Simple Explanation for the Existence of Adversarial Examples with Small Hamming Distance A. Shamir Itay Safran Eyal Ronen O. Dunkelman GAN AAML 51 95 0 30 Jan 2019
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 112 1,785 0 30 May 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 249 3,195 0 01 Feb 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 135 1,409 0 08 Dec 2017
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization Luis Muñoz-González Battista Biggio Ambra Demontis Andrea Paudice Vasin Wongrassamee Emil C. Lupu Fabio Roli AAML 115 633 0 29 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 136 1,829 0 16 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 227 2,910 0 14 Mar 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,145 0 20 Dec 2014
Poisoning Attacks against Support Vector Machines Battista Biggio B. Nelson Pavel Laskov AAML 129 1,595 0 27 Jun 2012