Detecting Abnormal Traffic in Large-Scale Networks
Authors: Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut | Published: 2020-08-13
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
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
Authors: Alex Serban, Erik Poll, Joost Visser | Published: 2020-08-12
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
Authors: Jiaxi Tang, Hongyi Wen, Ke Wang | Published: 2020-08-11 | Updated: 2020-08-28
ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships
Authors: Bobby Filar, David French | Published: 2020-08-11
Network Intrusion Detection Using Wrapper-based Decision Tree for Feature Selection
Authors: Mubarak Albarka Umar, Chen Zhanfang, Yan Liu | Published: 2020-08-11
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Authors: Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan | Published: 2020-08-11
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks
Authors: Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2020-08-11 | Updated: 2020-12-09
Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting Behaviors
Authors: Umar Iqbal, Steven Englehardt, Zubair Shafiq | Published: 2020-08-11
An Automated, End-to-End Framework for Modeling Attacks From Vulnerability Descriptions
Authors: Hodaya Binyamini, Ron Bitton, Masaki Inokuchi, Tomohiko Yagyu, Yuval Elovici, Asaf Shabtai | Published: 2020-08-10