Review: Deep Learning Methods for Cybersecurity and Intrusion Detection Systems
Authors: Mayra Macas, Chunming Wu | Published: 2020-12-04
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ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
Authors: Ali Burak Ünal, Mete Akgün, Nico Pfeifer | Published: 2020-12-04
Unleashing the Tiger: Inference Attacks on Split Learning
Authors: Dario Pasquini, Giuseppe Ateniese, Massimo Bernaschi | Published: 2020-12-04 | Updated: 2021-11-04
TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic
Authors: Peter Jachim, Filipo Sharevski, Paige Treebridge | Published: 2020-12-04 | Updated: 2020-12-07
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus | Published: 2020-12-03 | Updated: 2021-03-09
SSGD: A safe and efficient method of gradient descent
Authors: Jinhuan Duan, Xianxian Li, Shiqi Gao, Jinyan Wang, Zili Zhong | Published: 2020-12-03 | Updated: 2021-04-26
FAT: Federated Adversarial Training
Authors: Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser | Published: 2020-12-03
Intrusion Detection Systems for IoT: opportunities and challenges offered by Edge Computing and Machine Learning
Authors: Pietro Spadaccino, Francesca Cuomo | Published: 2020-12-02 | Updated: 2022-04-14
A Chatbot for Information Security
Authors: Sofian Hamad, Taoufik Yeferny | Published: 2020-12-01
Cyber-Attack Consequence Prediction
Authors: Prerit Datta, Natalie Lodinger, Akbar Siami Namin, Keith S. Jones | Published: 2020-12-01 | Updated: 2020-12-02