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Found 2 papers, 1 papers with code
DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
We also explore some improvements that can maintain model utility and defend against MIAs more effectively.
A Heterogeneous Graph Learning Model for Cyber-Attack Detection
To effective and efficient detect cyber-attacks from a huge number of system events in the provenance data, we firstly model the provenance data by a heterogeneous graph to capture the rich context information of each system entities (e. g., process, file, socket, etc.
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