Usenix Security 20 On Training Robust Pdf Malware Classifiers

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USENIX Security '20 - On Training Robust PDF Malware Classifiers

USENIX Security '20 - On Training Robust PDF Malware Classifiers

USENIX Security '20 - On Training Robust PDF Malware Classifiers USENIX Security '23 - Adversarial Training for Raw-Binary Malware Classifiers USENIX Security '23 - Continuous Learning for Android Malware Detection USENIX Security '19 - Improving Robustness of ML Classifiers against Realizable Evasio USENIX Security '21 - Cost-Aware Robust Tree Ensembles for Security Applications USENIX Security '14 - BareCloud: Bare-metal Analysis-based Evasive Malware Detection USENIX Security '23 - Towards A Proactive ML Approach for Detecting Backdoor Poison Samples USENIX Security '23 - A Data-free Backdoor Injection Approach in Neural Networks USENIX Security '21 - Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers USENIX Security '17 - Transcend: Detecting Concept Drift in Malware Classification Models USENIX Security '21 - Understanding Malicious Cross-library Data Harvesting on Android USENIX Security '20 - FIRMSCOPE: Automatic Uncovering of Privilege-Escalation Vulnerabilities USENIX Security '17 - PDF Mirage: Content Masking Attack Against Information-Based Online Services USENIX Security '14 - On the Feasibility of Large-Scale Infections of iOS Devices USENIX Security '20 - Measuring and Modeling the Label Dynamics of Online Anti-Malware Engines USENIX Security '16 - When Governments Attack: Malware Targeting Activists, Lawyers, and Journalists USENIX Security '16 - UNVEIL: A Large-Scale, Automated Approach to Detecting Ransomware USENIX Security '24 - MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious... USENIX Enigma 2017 — FeatureSmith: Learning to Detect Malware by Mining the Security Literature USENIX Security '23 - SQIRL: Grey-Box Detection of SQL Injection Vulnerabilities Using...

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