Adversarial Eigen Attack on Black-Box Models
Authors: Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang | Published: 2020-08-27
Adversarial attack
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
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining
Authors: Jiefeng Chen, Yixuan Li, Xi Wu, Yingyu Liang, Somesh Jha | Published: 2020-06-26 | Updated: 2021-06-30
Can We Mitigate Backdoor Attack Using Adversarial Detection Methods?
Authors: Kaidi Jin, Tianwei Zhang, Chao Shen, Yufei Chen, Ming Fan, Chenhao Lin, Ting Liu | Published: 2020-06-26 | Updated: 2022-07-28