Is Randomness Necessary for Adaptive Data Analysis?
Edith Cohen, Haim Kaplan, Yishay Mansour, Shay Sapir, Uri Stemmer
cs.CR, cs.DS, cs.LG
Submitted: 2026-07-08
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- A Simple Proof of a New Set Disjointness with Applications to Data Streams
- Tight Bounds for Answering Adaptively Chosen Concentrated Queries
Related papers
- SoK: AI-Augmented Binary Reversing
- Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
- Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
- Efficient Fuzzy PSI under One-Sided Assumptions
- Sealing the Audit-Runtime Gap for LLM Skills
- Token Composition: A Graph Based on EVM Logs