2 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.PL2025
Scaling Optimization Over Uncertainty via Compilation
Minsung Cho, John Gouwar, Steven Holtzen
Probabilistic inference is fundamentally hard, yet many tasks require optimization on top of inference, which is even harder. We present a new optimization-via-compilation strategy…