Differential Privacy and Natural Language Processing to Generate Contextually Similar Decoy Messages in Honey Encryption Scheme
Authors: Kunjal Panchal | Published: 2020-10-29
敵対的学習
Understanding Catastrophic Overfitting in Single-step Adversarial Training
Authors: Hoki Kim, Woojin Lee, Jaewook Lee | Published: 2020-10-05 | Updated: 2020-12-15
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
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
Stronger and Faster Wasserstein Adversarial Attacks
Authors: Kaiwen Wu, Allen Houze Wang, Yaoliang Yu | Published: 2020-08-06
Training DNN Model with Secret Key for Model Protection
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-08-06
On the relationship between class selectivity, dimensionality, and robustness
Authors: Matthew L. Leavitt, Ari S. Morcos | Published: 2020-07-08 | Updated: 2020-10-13
How benign is benign overfitting?
Authors: Amartya Sanyal, Puneet K Dokania, Varun Kanade, Philip H. S. Torr | Published: 2020-07-08