Papers citing 'Robustness of classifiers to universal perturbations: a geometric perspective'

Title
Origins of Low-dimensional Adversarial PerturbationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Elvis Dohmatob Chuan Guo Morgane Goibert AAML 167 4 0 25 Mar 2022
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes Elvis Dohmatob A. Bietti AAML 301 15 0 22 Mar 2022
On Distinctive Properties of Universal Perturbations Sung Min Park K. Wei Kai Y. Xiao Jungshian Li Aleksander Madry AAML 197 2 0 31 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 289 12 0 10 Dec 2021
Improving Local Effectiveness for Global robust training Jingyue Lu M. P. Kumar AAML 120 0 0 26 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 442 293 0 01 Aug 2021
Attack to Fool and Explain Deep NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Naveed Akhtar M. Jalwana Bennamoun Lin Wang AAML 198 35 0 20 Jun 2021
Group-Structured Adversarial Training Farzan Farnia Amirali Aghazadeh James Zou David Tse AAML 241 0 0 18 Jun 2021
Universal Adversarial Training with Class-Wise PerturbationsIEEE International Conference on Multimedia and Expo (ICME), 2021 Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 183 28 0 07 Apr 2021
A Survey On Universal Adversarial AttackInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon AAML 267 103 0 02 Mar 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2021 Chaoning Zhang Philipp Benz Adil Karjauv In So Kweon AAML 195 46 0 12 Feb 2021
Analysis of Dominant Classes in Universal Adversarial PerturbationsKnowledge-Based Systems (KBS), 2020 Jon Vadillo Roberto Santana Jose A. Lozano AAML 201 9 0 28 Dec 2020
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural BackdoorsEuropean Symposium on Security and Privacy (EuroS&P), 2020 Ren Pang Zheng Zhang Xiangshan Gao Zhaohan Xi S. Ji Peng Cheng Xiapu Luo Ting Wang AAML 268 44 0 16 Dec 2020
Achieving Adversarial Robustness Requires An Active TeacherJournal of Computational Mathematics (JCM), 2020 Chao Ma Lexing Ying 130 1 0 14 Dec 2020
A Targeted Universal Attack on Graph Convolutional NetworkNeural Processing Letters (NPL), 2020 Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 114 24 0 29 Nov 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's PerspectiveACM Computing Surveys (ACM CSUR), 2020 G. R. Machado Eugênio Silva R. Goldschmidt AAML 236 181 0 08 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2020 A. Serban E. Poll Joost Visser AAML 373 78 0 07 Aug 2020
Black-box Adversarial Sample Generation Based on Differential EvolutionJournal of Systems and Software (JSS), 2020 Junyu Lin Lei Xu Yingqi Liu Xinming Zhang AAML 127 36 0 30 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and PerturbationsComputer Vision and Pattern Recognition (CVPR), 2020 Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 170 134 0 13 Jul 2020
Classifier-independent Lower-Bounds for Adversarial Robustness Elvis Dohmatob 356 1 0 17 Jun 2020
On Universalized Adversarial and Invariant Perturbations Sandesh Kamath Amit Deshpande K. Subrahmanyam AAML 52 0 0 08 Jun 2020
Universalization of any adversarial attack using very few test examples Sandesh Kamath Amit Deshpande K. Subrahmanyam Vineeth N. Balasubramanian FedML AAML 77 1 0 18 May 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial RobustnessComputer Vision and Pattern Recognition (CVPR), 2020 Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 317 72 0 02 Mar 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020 Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 271 173 0 27 Jan 2020
Practical Fast Gradient Sign Attack against Mammographic Image Classifier Ibrahim Yilmaz AAML 159 11 0 27 Jan 2020
A Method for Computing Class-wise Universal Adversarial Perturbations Tejus Gupta Abhishek Sinha Nupur Kumari M. Singh Balaji Krishnamurthy AAML 87 11 0 01 Dec 2019
Indirect Local Attacks for Context-aware Semantic Segmentation NetworksEuropean Conference on Computer Vision (ECCV), 2019 Krishna Kanth Nakka Mathieu Salzmann SSeg AAML 184 33 0 29 Nov 2019
Universal adversarial examples in speech command classification Jon Vadillo Roberto Santana AAML 200 30 0 22 Nov 2019
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models Ren Pang Hua Shen Xinyang Zhang S. Ji Yevgeniy Vorobeychik Xiaopu Luo Alex Liu Ting Wang AAML 204 2 0 05 Nov 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 156 15 0 10 Oct 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A ReviewInternational Journal of Automation and Computing (IJAC), 2019 Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Shucheng Zhou Anil K. Jain AAML 275 725 0 17 Sep 2019
Detecting Adversarial Samples Using Influence Functions and Nearest NeighborsComputer Vision and Pattern Recognition (CVPR), 2019 Gilad Cohen Guillermo Sapiro Raja Giryes TDI 192 135 0 15 Sep 2019
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix Yaxin Peng Chaomin Shen Guixu Zhang Jinsong Fan AAML 119 13 0 13 Sep 2019
Global Adversarial Attacks for Assessing Deep Learning Robustness Hanbin Hu Mitt Shah Jianhua Z. Huang Peng Li AAML 158 4 0 19 Jun 2019
Defending Against Universal Attacks Through Selective Feature Regeneration Tejas S. Borkar Felix Heide Lina Karam AAML 201 1 0 08 Jun 2019
Label Universal Targeted Attack Naveed Akhtar M. Jalwana Bennamoun Lin Wang AAML 118 5 0 27 May 2019
Adaptive Gradient for Adversarial Perturbations Generation Yatie Xiao Chi-Man Pun ODL 172 10 0 01 Feb 2019
A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm Xiaolei Liu Yuheng Luo Xiaosong Zhang Qingxin Zhu AAML 103 17 0 26 Jan 2019
Dissociable neural representations of adversarially perturbed images in convolutional neural networks and the human brain Chi Zhang Xiaohan Duan Linyuan Wang Yongli Li Bin Yan Guoen Hu Ruyuan Zhang Li Tong AAML 149 1 0 22 Dec 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 194 203 0 27 Nov 2018
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation T. Bouwmans S. Javed M. Sultana Soon Ki Jung 159 327 0 13 Nov 2018
A Geometric Perspective on the Transferability of Adversarial DirectionsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018 Duncan C. McElfresh H. Bidkhori Dimitris Papailiopoulos AAML 91 17 0 08 Nov 2018
The Adversarial Attack and Detection under the Fisher Information Metric Chenxiao Zhao P. T. Fletcher Mixue Yu Chaomin Shen Guixu Zhang Yaxin Peng AAML 189 50 0 09 Oct 2018
Efficient Two-Step Adversarial Defense for Deep Neural Networks Ting-Jui Chang Yukun He Peng Li AAML 131 12 0 08 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 188 49 0 02 Oct 2018
Bridging machine learning and cryptography in defence against adversarial attacks O. Taran Shideh Rezaeifar Svyatoslav Voloshynovskiy AAML 104 24 0 05 Sep 2018
Are You Tampering With My Data? Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Manuel Bouillon Mathias Seuret Rolf Ingold Marcus Liwicki AAML 164 20 0 21 Aug 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Juil Sock AAML 274 72 0 11 Jul 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 140 7 0 19 Jun 2018
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks Chirag Agarwal Bo Dong Dan Schonfeld A. Hoogs 171 2 0 05 Jun 2018