Usenix Security '21 - Leakage Of Dataset Properties In Multi-Party Machine Learning

USENIX Security '21 - Leakage of Dataset Properties in Multi-Party Machine Learning

USENIX Security '24 - Scalable Multi-Party Computation Protocols for Machine Learning in the...

USENIX Security '21 - Fantastic Four: Honest-Majority Four-Party Secure Computation With Malicious

USENIX Security '21 - Poisoning the Unlabeled Dataset of Semi-Supervised Learning

USENIX Security '21 - Systematic Evaluation of Privacy Risks of Machine Learning Models

USENIX Security '21 - Blind Backdoors in Deep Learning Models

USENIX Security '21 - Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning

USENIX Security '21 - Graph Backdoor

USENIX Security '21 - MPInspector: A Systematic and Automatic Approach for Evaluating the Security

USENIX Security '21 - Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers

USENIX Security '21 - Extracting Training Data from Large Language Models

USENIX Security '21 - ELISE: A Storage Efficient Logging System Powered by Redundancy Reduction

USENIX Security '20 - Fawkes: Protecting Privacy against Unauthorized Deep Learning Models

USENIX Security '21 - T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based

USENIX Security '21 - PrivSyn: Differentially Private Data Synthesis

USENIX Security '23 - Squirrel: A Scalable Secure Two-Party Computation Framework for Training...

USENIX Security '24 - Length Leakage in Oblivious Data Access Mechanisms

USENIX Security '20 - Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

USENIX Security '21 - Precise and Scalable Detection of Use-after-Compacting-Garbage-Collection Bugs

USENIX Security '20 - On Training Robust PDF Malware Classifiers