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
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 13 32 0 14 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey Bin Qian Jie Su Z. Wen D. N. Jha Yinhao Li ... Albert Y. Zomaya Omer F. Rana Lizhe Wang Maciej Koutny R. Ranjan 28 4 0 11 Oct 2019
Verification of Neural Networks: Specifying Global Robustness using Generative Models Nathanaël Fijalkow M. Gupta AAML 14 2 0 11 Oct 2019
AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation Guangyu Shen Chengzhi Mao Junfeng Yang Baishakhi Ray GAN 28 12 0 06 Oct 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions He Zhao Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 28 8 0 03 Oct 2019
Universal Approximation with Certified Networks Maximilian Baader M. Mirman Martin Vechev 19 21 0 30 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 39 669 0 17 Sep 2019
On the Robustness of Human Pose Estimation Sahil Shah Naman Jain Abhishek Sharma Arjun Jain AAML OOD 36 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 24 28 0 14 Aug 2019
AdvFaces: Adversarial Face Synthesis Debayan Deb Jianbang Zhang Anil K. Jain GAN CVBM AAML PICV 33 126 0 14 Aug 2019
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve D. D. Thang Toshihiro Matsui AAML 13 4 0 05 Aug 2019
AdvGAN++ : Harnessing latent layers for adversary generation Puneet Mangla Surgan Jandial Sakshi Varshney V. Balasubramanian GAN 13 68 0 02 Aug 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 23 230 0 24 Jul 2019
Characterizing Attacks on Deep Reinforcement Learning Xinlei Pan Chaowei Xiao Warren He Shuang Yang Jian Peng ... Jinfeng Yi Zijiang Yang Mingyan D. Liu Bo Li D. Song AAML 22 69 0 21 Jul 2019
Adversarial Sensor Attack on LiDAR-based Perception in Autonomous Driving Yulong Cao Chaowei Xiao Benjamin Cyr Yimeng Zhou Wonseok Park Sara Rampazzi Qi Alfred Chen Kevin Fu Z. Morley Mao AAML 17 531 0 16 Jul 2019
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN Guoping Zhao Mingyu Zhang Jiajun Liu Ji-Rong Wen AAML GAN 22 25 0 12 Jul 2019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Yulong Cao Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Mingyan D. Liu Bo Li 3DPC AAML 22 140 0 11 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 41 126 0 09 Jul 2019
Cellular State Transformations using Generative Adversarial Networks Colin Targonski Benjamin T. Shealy M. C. Smith F. Feltus 6 1 0 28 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing Haonan Qiu Chaowei Xiao Lei Yang Xinchen Yan Honglak Lee Bo Li AAML 28 170 0 19 Jun 2019
Poisoning Attacks with Generative Adversarial Nets Luis Muñoz-González Bjarne Pfitzner Matteo Russo Javier Carnerero-Cano Emil C. Lupu AAML 21 63 0 18 Jun 2019
Towards Stable and Efficient Training of Verifiably Robust Neural Networks Huan Zhang Hongge Chen Chaowei Xiao Sven Gowal Robert Stanforth Bo Li Duane S. Boning Cho-Jui Hsieh AAML 17 344 0 14 Jun 2019
Distributionally Robust Counterfactual Risk Minimization Louis Faury Ugo Tanielian Flavian Vasile E. Smirnova Elvis Dohmatob 25 45 0 14 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 30 35 0 09 Jun 2019
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models P. Morawiecki Przemysław Spurek Marek Śmieja Jacek Tabor AAML OOD 27 8 0 03 Jun 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 22 513 0 28 May 2019
Cross-Domain Transferability of Adversarial Perturbations Muzammal Naseer Salman H. Khan M. H. Khan Fahad Shahbaz Khan Fatih Porikli AAML 33 145 0 28 May 2019
Brain-inspired reverse adversarial examples Shaokai Ye S. Tan Kaidi Xu Yanzhi Wang Chenglong Bao Kaisheng Ma AAML 8 5 0 28 May 2019
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification Xuwang Yin Soheil Kolouri Gustavo K. Rohde AAML 33 43 0 27 May 2019
Generalizable Adversarial Attacks with Latent Variable Perturbation Modelling A. Bose Andre Cianflone William L. Hamilton OOD AAML 22 7 0 26 May 2019
A Direct Approach to Robust Deep Learning Using Adversarial Networks Huaxia Wang Chun-Nam Yu GAN AAML OOD 24 77 0 23 May 2019
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems Kazuya Kakizaki Kosuke Yoshida AAML CVBM 37 19 0 09 May 2019
Adaptive Generation of Unrestricted Adversarial Inputs Isaac Dunn Hadrien Pouget T. Melham Daniel Kroening AAML 28 7 0 07 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 77 1,231 0 29 Apr 2019
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples Xiaosen Wang Kun He Chuanbiao Song Liwei Wang J. Hopcroft GAN 18 32 0 16 Apr 2019
Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad Min Jin Chong Kaizhao Liang Yangqiu Song David A. Forsyth AAML 34 149 0 12 Apr 2019
Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients Yatie Xiao Chi-Man Pun AAML GAN TTA 19 0 0 12 Apr 2019
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense Lingyun Jiang Kai Qiao Ruoxi Qin Linyuan Wang Jian Chen Haibing Bu Bin Yan AAML 20 8 0 12 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 47 50 0 01 Apr 2019
A Provable Defense for Deep Residual Networks M. Mirman Gagandeep Singh Martin Vechev 27 26 0 29 Mar 2019
There are No Bit Parts for Sign Bits in Black-Box Attacks Abdullah Al-Dujaili Una-May O’Reilly AAML 21 20 0 19 Feb 2019
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation Jonas Löhdefink Andreas Bär Nico M. Schmidt Fabian Hüger Peter Schlicht Tim Fingscheidt 29 15 0 12 Feb 2019
Action Robust Reinforcement Learning and Applications in Continuous Control Chen Tessler Yonathan Efroni Shie Mannor 30 230 0 26 Jan 2019
The Limitations of Adversarial Training and the Blind-Spot Attack Huan Zhang Hongge Chen Zhao Song Duane S. Boning Inderjit S. Dhillon Cho-Jui Hsieh AAML 22 144 0 15 Jan 2019
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System Huangxun Chen Chenyu Huang Qianyi Huang Qian Zhang Wei Wang AAML 31 26 0 12 Jan 2019
Image Transformation can make Neural Networks more robust against Adversarial Examples D. D. Thang Toshihiro Matsui AAML 11 10 0 10 Jan 2019
Application-driven Privacy-preserving Data Publishing with Correlated Attributes A. Rezaei Chaowei Xiao Jie Gao Bo Li Sirajum Munir 19 14 0 26 Dec 2018
Towards resilient machine learning for ransomware detection Li-Wei Chen Chih-Yuan Yang Anindya Paul R. Sahita AAML 14 22 0 21 Dec 2018
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 75 723 0 13 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 42 136 0 09 Dec 2018