Adversary Agnostic Robust Deep Reinforcement Learning
Authors: Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun | Published: 2020-08-14 | Updated: 2020-12-24
文献データベース
Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry
Authors: Zhen Yu Ding, Benjamin Khakshoor, Justin Paglierani, Mantej Rajpal | Published: 2020-08-13
Deep-Lock: Secure Authorization for Deep Neural Networks
Authors: Manaar Alam, Sayandeep Saha, Debdeep Mukhopadhyay, Sandip Kundu | Published: 2020-08-13 | Updated: 2024-02-18
Can We Trust Your Explanations? Sanity Checks for Interpreters in Android Malware Analysis
Authors: Ming Fan, Wenying Wei, Xiaofei Xie, Yang Liu, Xiaohong Guan, Ting Liu | Published: 2020-08-13
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