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Deceive Intrusion Detection System with GAN and Function-Preserving on Adversarial Samples in SDN-enabled networks

RESEARCH CREW
16:11 08/11/2020

Deceive Intrusion Detection System with GAN and Function-Preserving on Adversarial Samples in SDN-enabled networks (*selected as an Excellent Young Research Award at VANJ 2020 conference) (abstract only)

TIN LIÊN QUAN
FI-IDS: A Federated Incremental Learning Approach for Intrusion Detection System
A Robust and Trustworthy Intrusion Detection System Using Adversarial Machine Learning and XAI
ADV-Sword: A Framework of Explainable AI-Guided Adversarial Samples Generation for Benchmarking ML-Based Intrusion Detection Systems