Adversarial Malware Generator - A reinforcement learning framework for generating adversarial malware samples to evade GBDT-based and other malware classifiers.
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Updated
May 23, 2026 - Python
Adversarial Malware Generator - A reinforcement learning framework for generating adversarial malware samples to evade GBDT-based and other malware classifiers.
SE4AI Project - Evasion Attacks on Self-Driving Cars to find vulnerabilities
A learning-focused simulation of adversarial attacks against ML-based network intrusion detection systems within a Zero-Trust architecture, including constrained adversarial modeling, policy enforcement, and security-focused evaluation metrics.
Adversarial evasion attacks with constraint satisfaction guarantees.
Evaluating adversarial machine learning attacks in network intrusion detection systems.
Data poisoning, evasion attacks, and adversarial-training defense on a real classifier.
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