Improving Resistance to Adversarial Deformations by Regularizing Gradients
Authors: Pengfei Xia, Bin Li | Published: 2020-08-29 | Updated: 2020-10-06
Adversarial attack
Against Membership Inference Attack: Pruning is All You Need
Authors: Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran | Published: 2020-08-28 | Updated: 2021-07-04
Adversarial Eigen Attack on Black-Box Models
Authors: Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang | Published: 2020-08-27
Stronger and Faster Wasserstein Adversarial Attacks
Authors: Kaiwen Wu, Allen Houze Wang, Yaoliang Yu | Published: 2020-08-06
TREND: Transferability based Robust ENsemble Design
Authors: Deepak Ravikumar, Sangamesh Kodge, Isha Garg, Kaushik Roy | Published: 2020-08-04 | Updated: 2021-03-30
Robust and Accurate Authorship Attribution via Program Normalization
Authors: Yizhen Wang, Mohannad Alhanahnah, Ke Wang, Mihai Christodorescu, Somesh Jha | Published: 2020-07-01 | Updated: 2022-02-25
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey
Authors: Samuel Henrique Silva, Peyman Najafirad | Published: 2020-07-01 | Updated: 2020-07-03
A Le Cam Type Bound for Adversarial Learning and Applications
Authors: Qiuling Xu, Kevin Bello, Jean Honorio | Published: 2020-07-01 | Updated: 2021-02-10
Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection
Authors: Deqiang Li, Qianmu Li | Published: 2020-06-30
FDA3 : Federated Defense Against Adversarial Attacks for Cloud-Based IIoT Applications
Authors: Yunfei Song, Tian Liu, Tongquan Wei, Xiangfeng Wang, Zhe Tao, Mingsong Chen | Published: 2020-06-28