Adversarial Transformation Networks: Learning to Generate Adversarial Examples

28 March 2017

Papers citing "Adversarial Transformation Networks: Learning to Generate Adversarial Examples"

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Title
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 29 1 0 22 Nov 2023
Localized Shortcut Removal Nicolas Müller Jochen Jacobs Jennifer Williams Konstantin Böttinger 25 0 0 24 Nov 2022
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System Zongming Lin Thomas Pike Mark M. Bailey Nathaniel D. Bastian OOD 21 2 0 08 Nov 2022
Data-Efficient Augmentation for Training Neural Networks Tian Yu Liu Baharan Mirzasoleiman 32 7 0 15 Oct 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 43 47 0 18 Aug 2022
Self-Ensemble Adversarial Training for Improved Robustness Hongjun Wang Yisen Wang OOD AAML 20 48 0 18 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems H. Abdullah Aditya Karlekar S. Prasad Muhammad Sajidur Rahman Logan Blue L. A. Bauer Vincent Bindschaedler Patrick Traynor AAML 29 3 0 10 Mar 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 67 64 0 27 Jan 2022
Invertible Image Dataset Protection Kejiang Chen Xianhan Zeng Qichao Ying Sheng Li Zhenxing Qian Xinpeng Zhang 33 7 0 29 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 41 15 0 24 Dec 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 30 22 0 08 Nov 2021
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack Dahoon Park K. Kwon Sunghoon Im Jaeha Kung AAML 16 3 0 01 Nov 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu AAML 43 76 0 05 Jun 2021
Transferable Sparse Adversarial Attack Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 19 20 0 31 May 2021
Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang Zheng-Wei Zhang Baoyuan Wu Fumin Shen Guangming Lu AAML GAN 6 44 0 17 May 2021
Black-box adversarial attacks using Evolution Strategies Hao Qiu Leonardo Lucio Custode Giovanni Iacca AAML 33 18 0 30 Apr 2021
Unsupervised Robust Domain Adaptation without Source Data Peshal Agarwal D. Paudel Jan-Nico Zaech Luc Van Gool OOD TTA 29 27 0 26 Mar 2021
GAN Inversion: A Survey Weihao Xia Yulun Zhang Yujiu Yang Jing-Hao Xue Bolei Zhou Ming-Hsuan Yang DiffM 70 507 0 14 Jan 2021
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks Alex Mathai Shreya Khare Srikanth G. Tamilselvam Senthil Mani AAML 36 6 0 08 Nov 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
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 29 73 0 07 Aug 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 38 51 0 01 Jul 2020
OGAN: Disrupting Deepfakes with an Adversarial Attack that Survives Training Eran Segalis Eran Galili 22 16 0 17 Jun 2020
GAP++: Learning to generate target-conditioned adversarial examples Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 15 8 0 09 Jun 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation Xingang Pan Xiaohang Zhan Bo Dai Dahua Lin Chen Change Loy Ping Luo DiffM 55 359 0 30 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 72 63 0 02 Mar 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 19 28 0 13 Feb 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study Jinlan Fu Pengfei Liu Qi Zhang Xuanjing Huang AI4CE 33 73 0 12 Jan 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 31 67 0 19 Dec 2019
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 24 20 0 16 Dec 2019
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan Oseledets Zheng-Wei Zhang AAML 32 25 0 29 Oct 2019
Learning Data Manipulation for Augmentation and Weighting Zhiting Hu Bowen Tan Ruslan Salakhutdinov Tom Michael Mitchell Eric Xing 29 116 0 28 Oct 2019
A Closer Look at Data Bias in Neural Extractive Summarization Models Ming Zhong Danqing Wang Pengfei Liu Xipeng Qiu Xuanjing Huang 48 42 0 30 Sep 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
Natural Adversarial Examples Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt D. Song OODD 98 1,428 0 16 Jul 2019
Defending Against Adversarial Attacks Using Random Forests Yifan Ding Liqiang Wang Huan Zhang Jinfeng Yi Deliang Fan Boqing Gong AAML 21 14 0 16 Jun 2019
Adversarial Examples for Edge Detection: They Exist, and They Transfer Christian Cosgrove Alan Yuille AAML GAN 22 12 0 02 Jun 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
Adversarial Training for Free! Ali Shafahi Mahyar Najibi Amin Ghiasi Zheng Xu John P. Dickerson Christoph Studer L. Davis Gavin Taylor Tom Goldstein AAML 68 1,231 0 29 Apr 2019
A geometry-inspired decision-based attack Yujia Liu Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 24 51 0 26 Mar 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints Xing Hu Ling Liang Lei Deng Shuangchen Li Xinfeng Xie Yu Ji Yufei Ding Chang Liu T. Sherwood Yuan Xie AAML MLAU 23 36 0 10 Mar 2019
Adversarial Attacks on Time Series Fazle Karim Somshubra Majumdar H. Darabi AI4TS 23 96 0 27 Feb 2019
AutoGAN: Robust Classifier Against Adversarial Attacks Blerta Lindqvist Shridatt Sugrim R. Izmailov AAML 29 7 0 08 Dec 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
Targeted Nonlinear Adversarial Perturbations in Images and Videos R. Rey-de-Castro H. Rabitz AAML 16 10 0 27 Aug 2018
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization A. Bose P. Aarabi AAML 19 89 0 31 May 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks Chun-Chen Tu Pai-Shun Ting Pin-Yu Chen Sijia Liu Huan Zhang Jinfeng Yi Cho-Jui Hsieh Shin-Ming Cheng MLAU AAML 26 395 0 30 May 2018
Sparse Adversarial Perturbations for Videos Xingxing Wei Jun Zhu Hang Su AAML 16 138 0 07 Mar 2018
Adversarial Texts with Gradient Methods Zhitao Gong Wenlu Wang Yangqiu Song D. Song Wei-Shinn Ku AAML 34 77 0 22 Jan 2018