Birhanu Eshete

Latest

• DeResistor: Toward Detection-Resistant Probing for Evasion of Internet Censorship
• Designing Secure Performance Metrics for Last-Level Cache
• MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members
• Adversarial Detection of Censorship Measurements
• DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
• EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
• Morphence: Moving Target Defense Against Adversarial Examples
• Making Machine Learning Trustworthy
• Explanation-Guided Diagnosis of Machine Learning Evasion Attacks
• PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
• PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
• Best-Effort Adversarial Approximation of Black-Box Malware Classifiers
• ProPatrol: Attack Investigation via Extracted High-Level Tasks
• DYNAMINER: Leveraging Offline Infection Analytics for On-the-Wire Malware Detection