Generative Adversarial Perturbations

6 December 2017

Papers citing "Generative Adversarial Perturbations"

50 / 202 papers shown

Title
Efficient Adversarial Attacks for Visual Object Tracking Siyuan Liang Xingxing Wei Siyuan Yao Xiaochun Cao AAML 8 74 0 01 Aug 2020
Adversarial Privacy-preserving Filter Jiaming Zhang Jitao Sang Xian Zhao Xiaowen Huang Yanfeng Sun Yongli Hu PICV 31 41 0 25 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 18 3 0 20 Jul 2020
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks Nupur Thakur Yuzhen Ding Baoxin Li AAML 6 3 0 20 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 14 117 0 13 Jul 2020
GAP++: Learning to generate target-conditioned adversarial examples Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 10 8 0 09 Jun 2020
Distributional Robustness with IPMs and links to Regularization and GANs Hisham Husain 19 21 0 08 Jun 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 13 119 0 08 May 2020
Universal Adversarial Attacks with Natural Triggers for Text Classification Liwei Song Xinwei Yu Hsuan-Tung Peng Karthik Narasimhan SILM AAML 28 75 0 01 May 2020
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model Yi Xie Zhuohang Li Cong Shi Jian-Dong Liu Yingying Chen Bo Yuan AAML 10 66 0 26 Apr 2020
A Black-box Adversarial Attack Strategy with Adjustable Sparsity and Generalizability for Deep Image Classifiers Arka Ghosh S. S. Mullick Shounak Datta Swagatam Das R. Mallipeddi A. Das AAML 8 37 0 24 Apr 2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking Hongjun Wang Guangrun Wang Ya Li Dongyu Zhang Liang Lin AAML 14 83 0 08 Apr 2020
Adversarial Attacks on Monocular Depth Estimation Ziqi Zhang Xinge Zhu Yingwei Li Xiangqun Chen Yao Guo AAML MDE 20 25 0 23 Mar 2020
Toward Adversarial Robustness via Semi-supervised Robust Training Yiming Li Baoyuan Wu Yan Feng Yanbo Fan Yong Jiang Zhifeng Li Shutao Xia AAML 79 13 0 16 Mar 2020
Frequency-Tuned Universal Adversarial Attacks Yingpeng Deng Lina Karam AAML 6 7 0 11 Mar 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 14 121 0 14 Feb 2020
AI-GAN: Attack-Inspired Generation of Adversarial Examples Tao Bai Jun Zhao Jinlin Zhu Shoudong Han Jiefeng Chen Bo-wen Li Alex C. Kot GAN 26 48 0 06 Feb 2020
An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models Yao Deng Xi Zheng Tianyi Zhang Chen Chen Guannan Lou Miryung Kim AAML 6 141 0 06 Feb 2020
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations Lin Wang Wonjune Cho Kuk-Jin Yoon AAML 26 24 0 06 Jan 2020
PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy Vahid Mirjalili S. Raschka Arun Ross PICV CVBM 22 100 0 02 Jan 2020
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator Huy Phan Yi Xie Siyu Liao Jie Chen Bo Yuan AAML 16 20 0 16 Dec 2019
A Method for Computing Class-wise Universal Adversarial Perturbations Tejus Gupta Abhishek Sinha Nupur Kumari M. Singh Balaji Krishnamurthy AAML 6 10 0 01 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Bernard Ghanem AAML 3DPC 25 127 0 01 Dec 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks K. K. Nakka Mathieu Salzmann SSeg AAML 6 31 0 29 Nov 2019
SpoC: Spoofing Camera Fingerprints D. Cozzolino Justus Thies Andreas Rossler Matthias Nießner L. Verdoliva 22 38 0 27 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 32 13 0 20 Nov 2019
Countering Inconsistent Labelling by Google's Vision API for Rotated Images Aman Apte A. Bandyopadhyay K. Shenoy Jason Peter Andrews Aditya Rathod Manish Agnihotri Aditya Jajodia 12 1 0 17 Nov 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 11 15 0 10 Oct 2019
Neural Puppet: Generative Layered Cartoon Characters Selim Engin E. Mitchell Daewon Lee Jun Saito Daniel D. Lee 3DH GAN 11 11 0 04 Oct 2019
On the Robustness of Human Pose Estimation Sahil Shah Naman Jain Abhishek Sharma Arjun Jain AAML OOD 16 20 0 18 Aug 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Jiangfan Han Xiaoyi Dong Ruimao Zhang Dongdong Chen Weiming Zhang Nenghai Yu Ping Luo Xiaogang Wang AAML 21 28 0 14 Aug 2019
Adversarial Examples for Edge Detection: They Exist, and They Transfer Christian Cosgrove Alan Yuille AAML GAN 20 12 0 02 Jun 2019
Cross-Domain Transferability of Adversarial Perturbations Muzammal Naseer Salman H. Khan M. H. Khan F. Khan Fatih Porikli AAML 25 145 0 28 May 2019
ROSA: Robust Salient Object Detection against Adversarial Attacks Haofeng Li Guanbin Li Yizhou Yu AAML 8 28 0 09 May 2019
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 18 1,225 0 29 Apr 2019
JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks N. Benjamin Erichson Z. Yao Michael W. Mahoney AAML 19 21 0 07 Apr 2019
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses Yingwei Li S. Bai Cihang Xie Zhenyu A. Liao Xiaohui Shen Alan Yuille AAML 39 49 0 01 Apr 2019
Generating Adversarial Perturbation with Root Mean Square Gradient Yatie Xiao Chi-Man Pun Jizhe Zhou GAN 11 1 0 13 Jan 2019
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan M. Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 16 50 0 18 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 34 134 0 09 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 6 525 0 06 Dec 2018
Adversarial Example Decomposition Horace He Aaron Lou Qingxuan Jiang Isay Katsman Serge J. Belongie Ser-Nam Lim AAML 11 0 0 04 Dec 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 16 189 0 27 Nov 2018
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses T. A. Hogan B. Kailkhura AAML 14 10 0 09 Nov 2018
Deep Fundamental Matrix Estimation without Correspondences Omid Poursaeed Guandao Yang Aditya Prakash Qi Fang Hanqing Jiang Bharath Hariharan Serge J. Belongie 3DV 12 37 0 03 Oct 2018
Adversarial Defense based on Structure-to-Signal Autoencoders Joachim Folz Sebastián M. Palacio Jörn Hees Damian Borth Andreas Dengel AAML 23 31 0 21 Mar 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 38 224 0 19 Feb 2018
A General Framework for Adversarial Examples with Objectives Mahmood Sharif Sruti Bhagavatula Lujo Bauer Michael K. Reiter AAML GAN 13 191 0 31 Dec 2017
Vision-based Real Estate Price Estimation Omid Poursaeed Tomas Matera Serge J. Belongie 9 116 0 18 Jul 2017