Machine Learning · Computer Science
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
He Zhao, Trung Le, Paul Montague, Olivier De Vel +2
2019-10-04
Computer Vision and Pattern Recognition · Computer Science
NAG: Network for Adversary Generation
Konda Reddy Mopuri, Utkarsh Ojha, Utsav Garg, R. Venkatesh Babu
2018-03-29
Information Retrieval · Computer Science
Natural Adversarial Sentence Generation with Gradient-based Perturbation
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei +2
2019-09-11
Machine Learning · Statistics
Universal Adversarial Perturbations Against Semantic Image Segmentation
Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer
2017-08-02
Machine Learning · Statistics
Adversarial Examples for Semantic Image Segmentation
Volker Fischer, Mummadi Chaithanya Kumar, Jan Hendrik Metzen, Thomas Brox
2017-03-06
Computer Vision and Pattern Recognition · Computer Science
Generative Adversarial Perturbations
Omid Poursaeed, Isay Katsman, Bicheng Gao, Serge Belongie
2018-07-09
Machine Learning · Computer Science
Generating Semantic Adversarial Examples via Feature Manipulation
Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler +2
2022-05-23
Computation and Language · Computer Science
Adversarial Texts with Gradient Methods
Zhitao Gong, Wenlu Wang, Bo Li, Dawn Song +1
2018-01-26
Cryptography and Security · Computer Science
Adversarial Perturbations Against Deep Neural Networks for Malware Classification
Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes +1
2016-06-17
Computer Vision and Pattern Recognition · Computer Science
GAP++: Learning to generate target-conditioned adversarial examples
Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He +1
2020-06-11
Computer Vision and Pattern Recognition · Computer Science
Adversarial Attacks Beyond the Image Space
Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu +4
2019-04-09
Computer Vision and Pattern Recognition · Computer Science
Adversarial Pixel-Level Generation of Semantic Images
Emanuele Ghelfi, Paolo Galeone, Michele De Simoni, Federico Di Mattia
2019-07-01
Machine Learning · Computer Science
Combating Adversaries with Anti-Adversaries
Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi +2
2021-12-17
Machine Learning · Computer Science
Multi-Label Adversarial Perturbations
Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu
2019-01-04
Computer Vision and Pattern Recognition · Computer Science
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations
Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan +2
2021-04-09
Machine Learning · Computer Science
On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks
Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura, Naoto Hayashi +1
2020-02-19