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USENIX Security '18 - Effective Detection of Multimedia Protocol Tunneling using Machine Learning
USENIX Security '24 - MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious...
USENIX Security '18 - Solving the Next Billion-People Privacy Problem
USENIX Security '18 - With Great Training Comes Great Vulnerability...
USENIX Security '18 - End-to-End Measurements of Email Spoofing Attacks
USENIX Security '21 - Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning
USENIX Security '18 - The Broken Shield: Measuring Revocation Effectiveness...
USENIX Security '18 - GAZELLE: A Low Latency Framework for Secure Neural Network Inference
USENIX Security '18 - Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks...
USENIX Security '23 - Every Vote Counts: Ranking-Based Training of Federated Learning to Resist...
USENIX Security '18 - Polisis: Automated Analysis and Presentation of Privacy Policies...
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Last Updated: October 20, 2026
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James Mickens, Harvard University Q: Why DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao, University of ... Diogo Barradas NESC-ID, Instituto Superior Técnico, Universidade de Lisboa Abstract: Multimedia protocol tunneling enables the ... MD-ML: Super Fast Privacy-Preserving Monica Lam Stanford University Abstract: Virtual assistants With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Hang Hu Virginia Tech Abstract: Spear phishing has been a persistent threat to users and organizations, and yet email providers ... The Broken Shield: Measuring Revocation Effectiveness in the Windows Code-Signing PKI Doowon Kim University of Maryland, ... Chiraag Juvekar MIT MTL Abstract: The growing popularity of cloud-based Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Carsten Baum Bar Ilan University ... Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep
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