Generating Adversarial Examples with Adversarial Networks

8 January 2018

Jun-Yan Zhu

Papers citing "Generating Adversarial Examples with Adversarial Networks"

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Title
Robust Training Using Natural Transformation Shuo Wang Lingjuan Lyu Surya Nepal Carsten Rudolph M. Grobler Kristen Moore AAML OOD 17 2 0 10 May 2021
Learning Image Attacks toward Vision Guided Autonomous Vehicles Hyung-Jin Yoon H. Jafarnejadsani P. Voulgaris AAML 23 3 0 09 May 2021
Self-Supervised Adversarial Example Detection by Disentangled Representation Zhaoxi Zhang L. Zhang Xufei Zheng Jinyu Tian Jiantao Zhou AAML DRL 29 8 0 08 May 2021
Adaptive Adversarial Training for Meta Reinforcement Learning Shiqi Chen Zhengyu Chen Donglin Wang 35 6 0 27 Apr 2021
LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu Xitong Gao Chengzhong Xu AAML FedML 33 44 0 19 Apr 2021
Creativity and Machine Learning: A Survey Giorgio Franceschelli Mirco Musolesi VLM AI4CE 34 40 0 06 Apr 2021
Defending Against Image Corruptions Through Adversarial Augmentations D. A. Calian Florian Stimberg Olivia Wiles Sylvestre-Alvise Rebuffi András Gyorgy Timothy A. Mann Sven Gowal AAML 17 41 0 02 Apr 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness Zhuolin Yang Linyi Li Xiaojun Xu Shiliang Zuo Qiang Chen Benjamin I. P. Rubinstein Pan Zhou Ce Zhang Bo Li AAML 26 53 0 01 Apr 2021
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training Yunhe Gao Zhiqiang Tang Mu Zhou Dimitris N. Metaxas MedIm 25 18 0 30 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification Ying Xu Xu Zhong Antonio Jimeno Yepes Jey Han Lau VLM AAML 16 53 0 22 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 29 9 0 18 Mar 2021
Internal Wasserstein Distance for Adversarial Attack and Defense Jincheng Li Shuhai Zhang Jingyun Liang Jian Chen Mingkui Tan Yang Xiang AAML 24 4 0 13 Mar 2021
Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack He Wang Feixiang He Zhexi Peng Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg AAML 40 39 0 09 Mar 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective Zhuolin Yang Zhaoxi Chen Tiffany Cai Xinyun Chen Bo Li Yuandong Tian AAML 35 2 0 25 Feb 2021
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models Giannis Daras Joseph Dean A. Jalal A. Dimakis DRL 191 83 0 15 Feb 2021
Adversarial Robustness: What fools you makes you stronger Grzegorz Gluch R. Urbanke AAML 87 2 0 10 Feb 2021
PredCoin: Defense against Query-based Hard-label Attack Junfeng Guo Yaswanth Yadlapalli Lothar Thiele Ang Li Cong Liu AAML 28 0 0 04 Feb 2021
Fooling thermal infrared pedestrian detectors in real world using small bulbs Xiaopei Zhu Xiao-Li Li Jianmin Li Zheyao Wang Xiaolin Hu AAML 115 87 0 20 Jan 2021
Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection Ben Chen Bin Chen D. Gao Qijin Chen Chengfu Huo Xiaonan Meng Weijun Ren Yang Zhou 41 40 0 14 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness Pengfei Xia Ziqiang Li Hongjing Niu Bin Li AAML ELM 42 5 0 07 Jan 2021
Temporally-Transferable Perturbations: Efficient, One-Shot Adversarial Attacks for Online Visual Object Trackers K. K. Nakka Mathieu Salzmann AAML 17 5 0 30 Dec 2020
AWA: Adversarial Website Adaptation A. M. Sadeghzadeh Behrad Tajali R. Jalili AAML 22 19 0 20 Dec 2020
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification Martin Charachon C´eline Hudelot P. Cournède Camille Ruppli R. Ardon AAML GAN FAtt MedIm 8 7 0 14 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning Ujjwal Upadhyay Prerana Mukherjee 39 7 0 09 Dec 2020
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation Qi Zhou Haipeng Chen Yitao Zheng Zhen Wang AAML 14 5 0 09 Dec 2020
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML PICV 21 27 0 28 Nov 2020
Multi-Task Adversarial Attack Pengxin Guo Yuancheng Xu Baijiong Lin Yu Zhang AAML 36 8 0 19 Nov 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 44 14 0 06 Nov 2020
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks Hang Zhou Dongdong Chen Jing Liao Weiming Zhang Kejiang Chen Xiaoyi Dong Kunlin Liu G. Hua Nenghai Yu 3DPC 21 99 0 01 Nov 2020
WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan Akshay Agarwal Mayank Vatsa Richa Singh AAML 30 11 0 29 Oct 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 30 17 0 28 Oct 2020
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu ObjD AAML 35 4 0 27 Oct 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong Dongdong Chen Jianmin Bao Chuan Qin Lu Yuan Weiming Zhang Nenghai Yu Dong Chen AAML 18 63 0 26 Oct 2020
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations Yanghao Zhang Wenjie Ruan Fu Lee Wang Xiaowei Huang AAML 25 24 0 15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 35 64 0 14 Oct 2020
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks He Zhao Thanh-Tuan Nguyen Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 29 2 0 13 Oct 2020
Learning Task-aware Robust Deep Learning Systems Keji Han Yun Li Xianzhong Long Yao Ge OOD 23 0 0 11 Oct 2020
Understanding Local Robustness of Deep Neural Networks under Natural Variations Ziyuan Zhong Yuchi Tian Baishakhi Ray AAML 19 1 0 09 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 27 5 0 02 Oct 2020
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining Lukasz Korycki Bartosz Krawczyk AAML 14 23 0 20 Sep 2020
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks Thomas Gittings Steve A. Schneider John Collomosse AAML 25 13 0 17 Sep 2020
Light Can Hack Your Face! Black-box Backdoor Attack on Face Recognition Systems Haoliang Li Yufei Wang Xiaofei Xie Yang Liu Shiqi Wang Renjie Wan Lap-Pui Chau City University of Hong Kong AAML 24 32 0 15 Sep 2020
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection Lan Zhang Peng Liu Yoon-Ho Choi Ping Chen AAML 30 37 0 11 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo Li AAML 38 128 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 47 48 0 02 Sep 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients Pengfei Xia Bin Li AAML 30 4 0 29 Aug 2020
A New Perspective on Stabilizing GANs training: Direct Adversarial Training Ziqiang Li Pengfei Xia Rentuo Tao Hongjing Niu Bin Li GAN 35 30 0 19 Aug 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 18 118 0 15 Aug 2020
Generating Image Adversarial Examples by Embedding Digital Watermarks Yuexin Xiang Tiantian Li Wei Ren Tianqing Zhu K. Choo AAML WIGM 13 6 0 14 Aug 2020