From Zero-Shot Machine Learning to Zero-Day Attack Detection

30 September 2021

Papers citing "From Zero-Shot Machine Learning to Zero-Day Attack Detection"

7 / 7 papers shown

Title
Interoperability and Explicable AI-based Zero-Day Attacks Detection Process in Smart Community Mohammad Sayduzzaman Jarin Tasnim Tamanna Dipanjali Kundu Tawhidur Rahman 27 1 0 06 Aug 2024
Stacking an autoencoder for feature selection of zero-day threats Mahmut Tokmak Mike Nkongolo 11 5 0 01 Nov 2023
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption Kaustubh Shivdikar Yuhui Bao R. Agrawal M. Shen Gilbert Jonatan ... Neal Livesay José L. Abellán John Kim Ajay Joshi David Kaeli 25 15 0 20 Sep 2023
DOC-NAD: A Hybrid Deep One-class Classifier for Network Anomaly Detection Mohanad Sarhan Gayan K. Kulatilleke Wai Weng Lo S. Layeghy Marius Portmann 16 1 0 15 Dec 2022
Zero Day Threat Detection Using Metric Learning Autoencoders Dhruv Nandakumar R. Schiller Christopher Redino K. Choi A. Rahman Edward Bowen Marc Vucovich Joe Nehila M. Weeks Aaron Shaha 11 4 0 01 Nov 2022
On Generalisability of Machine Learning-based Network Intrusion Detection Systems S. Layeghy Marius Portmann AAML 18 18 0 09 May 2022
Zero Day Threat Detection Using Graph and Flow Based Security Telemetry Christopher Redino Dhruv Nandakumar R. Schiller K. Choi A. Rahman Edward Bowen M. Weeks Aaron Shaha Joe Nehila 17 6 0 04 May 2022