First shuffle-DP and joint-DP algorithms for GLM contextual bandits achieve near non-private regret without strong spectral assumptions on contexts.
Concentrated Differential Privacy: Simplifica- tions, Extensions, and Lower Bounds,
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Defines the PML envelope as a privacy metric in pointwise maximal leakage that is robust to post-processing and upper-bounds failure probability, unlike prior candidate definitions.
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Shuffle and Joint Differential Privacy for Generalized Linear Contextual Bandits
First shuffle-DP and joint-DP algorithms for GLM contextual bandits achieve near non-private regret without strong spectral assumptions on contexts.
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Information Leakage Envelopes
Defines the PML envelope as a privacy metric in pointwise maximal leakage that is robust to post-processing and upper-bounds failure probability, unlike prior candidate definitions.