Detecting Abnormal Traffic in Large-Scale Networks
Authors: Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut | Published: 2020-08-13
機械学習手法
WAFFLe: Weight Anonymized Factorization for Federated Learning
Authors: Weituo Hao, Nikhil Mehta, Kevin J Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin | Published: 2020-08-13
Multi-Task Variational Information Bottleneck
Authors: Weizhu Qian, Bowei Chen, Yichao Zhang, Guanghui Wen, Franck Gechter | Published: 2020-07-01 | Updated: 2021-03-01
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
On Intrinsic Dataset Properties for Adversarial Machine Learning
Authors: Jeffrey Z. Pan, Nicholas Zufelt | Published: 2020-05-19
An Overview of Privacy in Machine Learning
Authors: Emiliano De Cristofaro | Published: 2020-05-18
A Survey on Unknown Presentation Attack Detection for Fingerprint
Authors: Jag Mohan Singh, Ahmed Madhun, Guoqiang Li, Raghavendra Ramachandra | Published: 2020-05-17
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Authors: Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique | Published: 2020-05-16
Encryption Inspired Adversarial Defense for Visual Classification
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-05-16
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness
Authors: Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu | Published: 2020-05-15 | Updated: 2020-06-07