Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

17 May 2018

Papers citing "Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models"

50 / 252 papers shown

Title
Threat Model-Agnostic Adversarial Defense using Diffusion Models Tsachi Blau Roy Ganz Bahjat Kawar Alex M. Bronstein Michael Elad AAML DiffM 27 26 0 17 Jul 2022
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks Mohammad Esmaeilpour Nourhene Chaalia P. Cardinal AAML 21 1 0 14 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 32 7 0 12 Jul 2022
How many perturbations break this model? Evaluating robustness beyond adversarial accuracy R. Olivier Bhiksha Raj AAML 34 5 0 08 Jul 2022
On the Limitations of Stochastic Pre-processing Defenses Yue Gao Ilia Shumailov Kassem Fawaz Nicolas Papernot AAML SILM 47 31 0 19 Jun 2022
Analysis and Extensions of Adversarial Training for Video Classification K. A. Kinfu René Vidal AAML 33 13 0 16 Jun 2022
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Feng Wang Jiashui Wang AAML 27 37 0 07 Jun 2022
Guided Diffusion Model for Adversarial Purification Jinyi Wang Zhaoyang Lyu Dahua Lin Bo Dai Hongfei Fu DiffM 196 83 0 30 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 221 424 0 16 May 2022
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter C. Hegde UQCV AAML 34 2 0 12 May 2022
When adversarial examples are excusable Pieter-Jan Kindermans Charles Staats AAML 27 0 0 25 Apr 2022
A Mask-Based Adversarial Defense Scheme Weizhen Xu Chenyi Zhang Fangzhen Zhao Liangda Fang AAML 30 3 0 21 Apr 2022
Case-Aware Adversarial Training Mingyuan Fan Yang Liu Ximeng Liu AAML 32 1 0 20 Apr 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 36 89 0 04 Apr 2022
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition Jianfei Yang Han Zou Lihua Xie AAML HAI 30 20 0 04 Apr 2022
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness Souvik Kundu Sairam Sundaresan Massoud Pedram Peter A. Beerel AAML 13 1 0 28 Mar 2022
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework Jikun Chen Feng Qiang Na Ruan FedML 19 1 0 27 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 54 72 0 26 Mar 2022
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training Adir Rahamim I. Naeh AAML 35 1 0 16 Mar 2022
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness Yiqi Zhong Lei Wu Xianming Liu Junjun Jiang AAML 30 9 0 10 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 24 34 0 09 Mar 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses Francesco Croce Sven Gowal T. Brunner Evan Shelhamer Matthias Hein A. Cemgil TTA AAML 181 68 0 28 Feb 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 34 13 0 26 Feb 2022
Robust Reinforcement Learning via Genetic Curriculum Yeeho Song J. Schneider 29 9 0 17 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 31 1 0 14 Feb 2022
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving Scenarios Jung Im Choi Qing Tian AAML 30 38 0 10 Feb 2022
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) framework Mohammad Khalooei M. Homayounpour M. Amirmazlaghani AAML 25 3 0 05 Feb 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 26 6 0 31 Jan 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems Wei Jia Zhaojun Lu Haichun Zhang Zhenglin Liu Jie Wang Gang Qu AAML 16 51 0 17 Jan 2022
Adversarially Robust Classification by Conditional Generative Model Inversion Mitra Alirezaei Tolga Tasdizen AAML 24 0 0 12 Jan 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 31 5 0 28 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 26 8 0 16 Dec 2021
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 215 345 0 15 Dec 2021
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training Chen Liu Zhichao Huang Mathieu Salzmann Tong Zhang Sabine Süsstrunk AAML 28 13 0 14 Dec 2021
Interpolated Joint Space Adversarial Training for Robust and Generalizable Defenses Chun Pong Lau Jiang-Long Liu Hossein Souri Wei-An Lin S. Feizi Ramalingam Chellappa AAML 34 12 0 12 Dec 2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting Junhua Zou Zhisong Pan Junyang Qiu Xin Liu Ting Rui Wei Li 17 67 0 11 Dec 2021
SoK: Anti-Facial Recognition Technology Emily Wenger Shawn Shan Haitao Zheng Ben Y. Zhao PICV 32 13 0 08 Dec 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 32 3 0 27 Nov 2021
Malfustection: Obfuscated Malware Detection and Malware Classification with Data Shortage by Combining Semi-Supervised and Contrastive Learning Mohammad Mahdi Maghouli Mohamadreza Fereydooni M. Abdoos M. Vahidi-Asl AAML 21 3 0 18 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 26 7 0 07 Nov 2021
Robust lEarned Shrinkage-Thresholding (REST): Robust unrolling for sparse recover Wei Pu Chao Zhou Yonina C. Eldar M. Rodrigues OOD 21 1 0 20 Oct 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 36 294 0 18 Oct 2021
Adversarial examples by perturbing high-level features in intermediate decoder layers Vojtěch Čermák Lukáš Adam AAML GAN 35 0 0 14 Oct 2021
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap C. Hegde ViT 30 19 0 08 Oct 2021
Game Theory for Adversarial Attacks and Defenses Shorya Sharma AAML 16 3 0 08 Oct 2021
Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation Manjushree B. Aithal Xiaohua Li AAML 60 6 0 30 Sep 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 42 4 0 16 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 29 5 0 13 Sep 2021
Impact of Attention on Adversarial Robustness of Image Classification Models Prachi Agrawal Narinder Singh Punn S. K. Sonbhadra Sonali Agarwal AAML 24 6 0 02 Sep 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 54 78 0 09 Aug 2021