most citedDefending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems

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cs.CR2025★ 1 cited

Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems

Ping He, Lorenzo Cavallaro, Shouling Ji

Android malware presents a persistent threat to users' privacy and data integrity. To combat this, researchers have proposed machine learning-based (ML-based) Android malware detec…