Adversarial Eigen Attack on Black-Box Models
Authors: Linjun Zhou, Peng Cui, Yinan Jiang, Shiqiang Yang | Published: 2020-08-27
文献データベース
Adversarially Training for Audio Classifiers
Authors: Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal | Published: 2020-08-26 | Updated: 2020-10-25
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning
Authors: Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang | Published: 2020-08-25
Precision Health Data: Requirements, Challenges and Existing Techniques for Data Security and Privacy
Authors: Chandra Thapa, Seyit Camtepe | Published: 2020-08-24
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack
Authors: Hadi Mansourifar, Weidong Shi | Published: 2020-08-23
Multiple Classification with Split Learning
Authors: Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee | Published: 2020-08-22 | Updated: 2020-09-11
On the Intrinsic Differential Privacy of Bagging
Authors: Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2020-08-22
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses
Authors: Shiliang Zuo | Published: 2020-08-21 | Updated: 2024-03-14
Defending Distributed Classifiers Against Data Poisoning Attacks
Authors: Sandamal Weerasinghe, Tansu Alpcan, Sarah M. Erfani, Christopher Leckie | Published: 2020-08-21
Defending Regression Learners Against Poisoning Attacks
Authors: Sandamal Weerasinghe, Sarah M. Erfani, Tansu Alpcan, Christopher Leckie, Justin Kopacz | Published: 2020-08-21