Publications
Filters
145 results
145 results
2026
Version History: Thu 26 Mar: arXiv 2603.25095 [cs.DS]
Abstract: Random subsampling of edges is a commonly employed technique in graph algorithms, underlying a vast array of modern algorithmic breakthroughs. Unfortunately, using this technique often leads...
2025
Version History: Full version posted as arXiv:2506.07868 [cs.CR].
Abstract: Recent works have started to theoretically investigate how we can protect differentially private programs against timing attacks, by making the joint distribution the output and...
Differential privacy (DP)—a principled approach to producing statistical data products (e.g., summary statistics, machine learning models) with strong, mathematically provable privacy guarantees for the individuals in the underlying dataset—has seen...
We relate the nontrivial singular values σ2,…,σn of the normalized adjacency matrix of an Eulerian directed graph to combinatorial measures of graph expansion: \\ 1. We introduce a new directed analogue of conductance ϕdir, and prove a Cheeger-like...
Version History: earlier version published in ECCC in November 2024: https://eccc.weizmann.ac.il/report/2024/169/
We initiate the study of the randomness complexity of differential privacy, i.e., how many random bits an algorithm needs in order to...
The Theoretical Computer Science Community is heartbroken by the untimely loss of Luca Trevisan, who passed away on June 19, 2024 in Milan at the age of 52. His husband, Junce Zhang, was at his side along with a few other dear friends and colleagues. Luca...
Version History: originally published on ArXiv: https://arxiv.org/abs/2403.11088.
Many programming frameworks have been introduced to support the development of differentially private software applications. In this chapter, we survey some of the...
Version History:
- Full version posted as arXiv:2412.03562 [cs.CR].
- Earlier ArXiv versions include February 2024 (v1); February 2025 (v2); March 2025 (v3), and July 2025 (v4).
Abstract: Given a sequence of samples x1,...,xk promised to be drawn from one of...
Version History: Preliminary version posted as arXiv:2412.17115 [cs.DS]
Abstract: Whether or not the Sparsest Cut problem admits an efficient O(1)-approximation algorithm is a fundamental algorithmic question with connections to geometry and the Unique...
Version History: Preliminary version presented as a poster at the 7th Workshop on the Theory and Practice of Differential Privacy (TPDP '21, July 2021) and posted as arXiv:2207.13289 [cs.CR]
Abstract: In this paper, we study differentially private point...
Version History:
- Preliminary version posted as arXiv:2507.05972 [cs.CC]
- Notes: Outstanding Paper Award, TCC 2025.
Abstract: Pseudoentropy characterizations provide a quantitatively precise demonstration of the close relationship between computational...