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cs.CR2026
Engineering Robustness into Personal Agents with the AI Workflow Store
Roxana Geambasu, Mariana Raykova, Pierre Tholoniat +3
The dominant paradigm for AI agents is an "on-the-fly" loop in which agents synthesize plans and execute actions within seconds or minutes in response to user prompts. We argue tha…
cs.CR2026
Privacy Filters are Captured by Residues: A Characterization of Free Natural Filters and the Cost of Adaptivity
Matthew Regehr, Bingshan Hu, Ethan Leeman +3
We study privacy filters, which enable privacy accounting for differentially private (DP) mechanisms with adaptively chosen privacy characteristics. We show that the worst-case pri…