3 papers
cs.CR2026
A Bayesian Approach to Membership Inference for Statistical Release
Lisa Oakley, Sam Stites, Cameron Moy +3
The membership inference problem for publicly released statistics from a private dataset is well-studied. When developing and formally analyzing attack strategies, however, the foc…
cs.LG2025
Hierarchical Multi-agent Reinforcement Learning for Cyber Network Defense
Aditya Vikram Singh, Ethan Rathbun, Emma Graham +4
Recent advances in multi-agent reinforcement learning (MARL) have created opportunities to solve complex real-world tasks. Cybersecurity is a notable application area, where defend…
cs.CR2024
Synthesizing Tight Privacy and Accuracy Bounds via Weighted Model Counting
Lisa Oakley, Steven Holtzen, Alina Oprea
Programmatically generating tight differential privacy (DP) bounds is a hard problem. Two core challenges are (1) finding expressive, compact, and efficient encodings of the distri…