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
Learning Representations Robust to Group Shifts and Adversarial Examples Ming-Chang Chiu Xuezhe Ma OOD 19 0 0 18 Feb 2022
Robust Reinforcement Learning via Genetic Curriculum Yeeho Song J. Schneider 29 9 0 17 Feb 2022
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars Aakash Kumar AAML 10 1 0 16 Feb 2022
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity Recognition Jie Su Z. Wen Tao R. Lin Yu Guan 25 18 0 15 Feb 2022
FAAG: Fast Adversarial Audio Generation through Interactive Attack Optimisation Yuantian Miao Chao Chen Lei Pan Jun Zhang Yang Xiang AAML 25 2 0 11 Feb 2022
Memory Defense: More Robust Classification via a Memory-Masking Autoencoder Eashan Adhikarla Danni Luo Brian D. Davison AAML 25 2 0 05 Feb 2022
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition Hanrui Wang Shuo Wang Zhe Jin Yandan Wang Cunjian Chen Massimo Tistarelli AAML 24 16 0 11 Jan 2022
GenLabel: Mixup Relabeling using Generative Models Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 11 15 0 07 Jan 2022
Invertible Image Dataset Protection Kejiang Chen Xianhan Zeng Qichao Ying Sheng Li Zhenxing Qian Xinpeng Zhang 33 7 0 29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 31 5 0 28 Dec 2021
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks Simone Marullo Matteo Tiezzi Marco Gori S. Melacci AAML GAN 27 2 0 18 Dec 2021
Real-Time Neural Voice Camouflage Mia Chiquier Chengzhi Mao Carl Vondrick 35 6 0 14 Dec 2021
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt M. N. Mahani Nassir Navab Benjamin Busam F. Tombari 3DPC 31 52 0 09 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 41 21 0 01 Dec 2021
Using a GAN to Generate Adversarial Examples to Facial Image Recognition Andrew Merrigan Alan F. Smeaton PICV GAN 17 5 0 30 Nov 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 32 3 0 27 Nov 2021
Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method Tao Bai Jun Zhao Jinlin Zhu Shoudong Han Jiefeng Chen Bo Li Alex C. Kot AAML 26 4 0 19 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad Damith C. Ranasinghe AAML 41 53 0 19 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni AAML 35 18 0 10 Nov 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 32 22 0 08 Nov 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 118 43 0 29 Oct 2021
Adversarial examples by perturbing high-level features in intermediate decoder layers Vojtěch Čermák Lukáš Adam AAML GAN 35 0 0 14 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 53 27 0 07 Oct 2021
Adversarial Attacks on Machinery Fault Diagnosis Jiahao Chen Diqun Yan AAML 19 0 0 06 Oct 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 28 7 0 25 Sep 2021
Auditing AI models for Verified Deployment under Semantic Specifications Homanga Bharadhwaj De-An Huang Chaowei Xiao Anima Anandkumar Animesh Garg MLAU 32 6 0 25 Sep 2021
Security Analysis of Capsule Network Inference using Horizontal Collaboration Adewale Adeyemo Faiq Khalid Tolulope A. Odetola S. R. Hasan AAML 29 5 0 22 Sep 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 39 3 0 30 Aug 2021
Robustness-via-Synthesis: Robust Training with Generative Adversarial Perturbations Inci M. Baytas Debayan Deb AAML 22 7 0 22 Aug 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 34 10 0 18 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 27 44 0 03 Aug 2021
Feature Importance-aware Transferable Adversarial Attacks Peng Kuang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 20 207 0 29 Jul 2021
Learning to Adversarially Blur Visual Object Tracking Qing Guo Ziyi Cheng Felix Juefei Xu Lei Ma Xiaofei Xie Yang Liu Jianjun Zhao AAML 19 37 0 26 Jul 2021
On the Certified Robustness for Ensemble Models and Beyond Zhuolin Yang Linyi Li Xiaojun Xu B. Kailkhura Tao Xie Bo Li AAML 31 48 0 22 Jul 2021
Generative Models for Security: Attacks, Defenses, and Opportunities L. A. Bauer Vincent Bindschaedler 25 4 0 21 Jul 2021
Discriminator-Free Generative Adversarial Attack Shaohao Lu Yuqiao Xian Ke Yan Yi Hu Xing Sun Xiaowei Guo Feiyue Huang Weishi Zheng AAML GAN 35 20 0 20 Jul 2021
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models Zihao Xiao Xianfeng Gao Chilin Fu Yinpeng Dong Wei-zhe Gao Xiaolu Zhang Jun Zhou Jun Zhu AAML CVBM 39 109 0 29 Jun 2021
Fingerprinting Image-to-Image Generative Adversarial Networks Guanlin Li Guowen Xu Han Qiu Shangwei Guo Run Wang Jiwei Li Tianwei Zhang Rongxing Lu WIGM 32 0 0 19 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Bo Li AAML 34 219 0 17 Jun 2021
Detect and remove watermark in deep neural networks via generative adversarial networks Haoqi Wang Mingfu Xue Shichang Sun Yushu Zhang Jian Wang Weiqiang Liu AAML 29 12 0 15 Jun 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks Nezihe Merve Gürel Xiangyu Qi Luka Rimanic Ce Zhang Bo Li AAML 27 39 0 11 Jun 2021
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm Mingkang Zhu Tianlong Chen Zhangyang Wang AAML 22 20 0 10 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 32 139 0 07 Jun 2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout Pengfei Xie Linyuan Wang Ruoxi Qin Kai Qiao S. Shi Guoen Hu Bin Yan AAML 24 7 0 03 Jun 2021
Towards an Explanation Space to Align Humans and Explainable-AI Teamwork G. Cabour A. Morales É. Ledoux S. Bassetto 25 5 0 02 Jun 2021
Transferable Sparse Adversarial Attack Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 19 20 0 31 May 2021
Generating Adversarial Examples with Graph Neural Networks Florian Jaeckle M. P. Kumar GAN AAML 20 21 0 30 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 14 44 0 17 May 2021
Salient Feature Extractor for Adversarial Defense on Deep Neural Networks Jinyin Chen Ruoxi Chen Haibin Zheng Zhaoyan Ming Wenrong Jiang Chen Cui AAML 25 10 0 14 May 2021
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds Guiyu Tian Wenhao Jiang Wei Liu Yadong Mu 3DPC AAML 25 13 0 11 May 2021