Papers citing 'GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier'

Title
The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning Yiming Lin Yuchen Niu Shang Wang K. Huang Qiufeng Wang Xiao-Bo Jin 96 0 0 29 Aug 2025
Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data S. Jadhav Mihir Shrivastava S. Mitra OOD 208 11 0 20 Jun 2023
InfoAT: Improving Adversarial Training Using the Information Bottleneck PrincipleIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Mengting Xu Tao Zhang Zhongnian Li Daoqiang Zhang AAML 117 20 0 23 Jun 2022
Machine Learning in NextG Networks via Generative Adversarial NetworksIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022 E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 151 40 0 09 Mar 2022
Generative Adversarial Networks: A Survey Towards Private and Secure ApplicationsACM Computing Surveys (CSUR), 2021 Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 169 170 0 07 Jun 2021
ManiGen: A Manifold Aided Black-box Generator of Adversarial ExamplesIEEE Access (IEEE Access), 2020 Guanxiong Liu Issa M. Khalil Abdallah Khreishah A. Algosaibi Adel Aldalbahi M. Al-Naeem Abdulaziz Alhumam Muhammad Anan AAML 143 5 0 11 Jul 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness Xianxu Hou Jingxin Liu Bolei Xu Xiaolong Wang Bozhi Liu Guoping Qiu OOD AAML 191 9 0 10 May 2020
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks Xiaodong Wu Hui Xie Leixin Zhou Xiaodong Wu Weiyu Xu R. Mudumbai AAML 137 7 0 25 May 2019