Search Results for author: Hamid Bostani

Found 3 papers, 0 papers with code

Level Up with RealAEs: Leveraging Domain Constraints in Feature Space to Strengthen Robustness of Android Malware Detection

no code implementations30 May 2022 Hamid Bostani, Zhengyu Zhao, Zhuoran Liu, Veelasha Moonsamy

Realistic attacks in the Android malware domain create Realizable Adversarial Examples (RealAEs), i. e., AEs that satisfy the domain constraints of Android malware.

Adversarial Robustness Android Malware Detection +2

EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection

no code implementations7 Oct 2021 Hamid Bostani, Veelasha Moonsamy

The proposed manipulation technique is a query-efficient optimization algorithm that can find and inject optimal sequences of transformations into malware apps.

Adversarial Attack Android Malware Detection +2

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