Papers
1–3 of 3Research Paper·Mar 12, 2026
Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing (Extended Version)
Differential Privacy (DP) is widely adopted in data management systems to enable data sharing with formal disclosure guarantees. A central systems challenge is understanding how DP noise translates in...
4.0 viability
Research Paper·Mar 10, 2026
Optimal partition selection with Rényi differential privacy
A common problem in private data analysis is the partition selection problem, where each user holds a set of partitions (e.g. keys in a GROUP BY operation) from a possibly unbounded set. The challenge...
2.0 viability
Research Paper·Mar 11, 2026
Separating Oblivious and Adaptive Differential Privacy under Continual Observation
We resolve an open question of Jain, Raskhodnikova, Sivakumar, and Smith (ICML 2023) by exhibiting a problem separating differential privacy under continual observation in the oblivious and adaptive s...
2.0 viability