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USENIX Security '23 - Continuous Learning for Android Malware Detection
USENIX Security '20 - On Training Robust PDF Malware Classifiers
USENIX Security '23 - Evading Provenance-Based ML Detectors with Adversarial System Action
USENIX Security '23 - Adversarial Training for Raw-Binary Malware Classifiers
USENIX Security '21 - The Circle Of Life: A Large-Scale Study of The IoT Malware Lifecycle
They Are Watching You: 3 Ways Malware Detects Virtual Machines
USENIX Security '21 - When Malware Changed Its Mind: An Empirical Study of Variable Program Behavior
USENIX Security '16 - UNVEIL: A Large-Scale, Automated Approach to Detecting Ransomware
USENIX Security '24 - SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models
USENIX Enigma 2017 β FeatureSmith: Learning to Detect Malware by Mining the Security Literature
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Last Updated: August 20, 2026
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