MalProtect: Stateful Defense Against Adversarial Query Attacks in ML-based Malware Detection

no code implementations • 21 Feb 2023 • Aqib Rashid, Jose Such

To deal with this, stateful defenses have been proposed to detect query attacks and prevent the generation of adversarial examples by monitoring and analyzing the sequence of queries received by the system.

Malware Detection Out-of-Distribution Detection

Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection

no code implementations • 1 Feb 2023 • Aqib Rashid, Jose Such

To examine these claims, we study for the first time the effectiveness of several recent MTDs for adversarial ML attacks applied to the malware detection domain.

Malware Detection

StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection

no code implementations • 15 Feb 2022 • Aqib Rashid, Jose Such

StratDef dynamically and strategically chooses the best models to increase the uncertainty for the attacker while minimizing critical aspects in the adversarial ML domain, like attack transferability.

Adversarial Robustness Malware Detection