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Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples

21 December 2023

Papers citing "Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples"

32 / 32 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels Jizong Peng Ping Wang Chrisitian Desrosiers M. Pedersoli SSL 62 65 0 29 Jul 2021
Mind the box: $l_1$ -APGD for sparse adversarial attacks on image classifiers Francesco Croce Matthias Hein AAML 88 55 0 01 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 120 322 0 22 Feb 2021
Learning Disentangled Semantic Representation for Domain Adaptation Ruichu Cai Zijian Li Pengfei Wei Jie Qiao Kun Zhang Zijian Li OOD DRL 67 131 0 22 Dec 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 216 1,846 0 03 Mar 2020
StarGAN v2: Diverse Image Synthesis for Multiple Domains Yunjey Choi Youngjung Uh Jaejun Yoo Jung-Woo Ha 3DH 127 1,749 0 04 Dec 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing Haonan Qiu Chaowei Xiao Lei Yang Xinchen Yan Honglak Lee Yue Liu AAML 69 171 0 19 Jun 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 91 1,838 0 06 May 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 78 487 0 22 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad Min Jin Chong Kaizhao Liang Yangqiu Song David A. Forsyth AAML 72 152 0 12 Apr 2019
Feature Denoising for Improving Adversarial Robustness Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He 107 909 0 09 Dec 2018
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search Lars Buesing T. Weber Yori Zwols S. Racanière A. Guez Jean-Baptiste Lespiau N. Heess CML 111 137 0 15 Nov 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 214 307 0 21 May 2018
Semantic Adversarial Examples Hossein Hosseini Radha Poovendran GAN AAML 89 199 0 16 Mar 2018
Adversarial Patch Tom B. Brown Dandelion Mané Aurko Roy Martín Abadi Justin Gilmer AAML 78 1,094 0 27 Dec 2017
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation Yunjey Choi Min-Je Choi M. Kim Jung-Woo Ha Sunghun Kim Jaegul Choo GAN 138 3,553 0 24 Nov 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 114 1,405 0 31 Oct 2017
Generating Natural Adversarial Examples Zhengli Zhao Dheeru Dua Sameer Singh GAN AAML 169 601 0 31 Oct 2017
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Murat Kocaoglu Christopher Snyder A. Dimakis S. Vishwanath GAN OOD 79 254 0 06 Sep 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars Yuchi Tian Kexin Pei Suman Jana Baishakhi Ray AAML 64 1,359 0 28 Aug 2017
Evasion Attacks against Machine Learning at Test Time Battista Biggio Igino Corona Davide Maiorca B. Nelson Nedim Srndic Pavel Laskov Giorgio Giacinto Fabio Roli AAML 157 2,153 0 21 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 307 12,069 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,725 0 19 May 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 266 8,555 0 16 Aug 2016
A study of the effect of JPG compression on adversarial images Gintare Karolina Dziugaite Zoubin Ghahramani Daniel M. Roy AAML 86 533 0 02 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 540 5,897 0 08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 151 4,897 0 14 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 370 13,145 0 12 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 277 19,066 0 20 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,408 0 28 Nov 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 275 14,927 1 21 Dec 2013