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USENIX Security '21 - An Investigation of the Android Kernel Patch Ecosystem
USENIX Security '21 - Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning
USENIX Security '21 - Leakage of Dataset Properties in Multi-Party Machine Learning
USENIX Security '21 - Blind Backdoors in Deep Learning Models
USENIX Security '21 - Share First, Ask Later (or Never?) Studying Violations of GDPR's Explicit
USENIX Security '17 - Digtool: A Virtualization-Based Framework for Detecting Kernel Vulnerabilities
USENIX Security '21 - Finding Bugs Using Your Own Code: Detecting Functionally-similar yet
USENIX Security '16 - Stealing Machine Learning Models via Prediction APIs
USENIX Security '21 - Explanation Beats Context: The Effect of Timing & Rationales on Users'...
USENIX Security '21 - Incrementally Updateable Honey Password Vaults
#HITB2018AMS D2T1 - Uncovering the Android Patch Gap - Karsten Nohl & Jakob Lell
USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction
