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149 results
2026
Inspired by recent advances in notions of spectral approximation of digraphs [Ahm+20], we study spectral algorithms for finding periodic structures in digraphs via the spectrum of a class of rotated Laplacian matrices. This class of Laplacian matrices was...
- picture_as_pdf PyneVa2026.pdf
- picture_as_pdf PyneVa21-ECCC.pdf
- picture_as_pdf PyneVa21-CCC.pdf
- Publisher's Version
Version History:
- Originally published as: Pyne, Edward, and Salil Vadhan. “Pseudodistributions That Beat All Pseudorandom Generators”. 36th Annual Computational Complexity Conference (CCC ’21) . Leibniz International Proceedings in Informatics (LIPIcs)...
- picture_as_pdf HenzingerSaVa2026.pdf
- picture_as_pdf HenzigerSaVa2024v4.pdf
- Publisher's Version
- ArXiv Version
Version History:
- Preliminary version posted as arXiv:2411.03299 [cs.DS].
Abstract:
Many intended uses of differential privacy involve a continual mechanism that is set up to run continuously over a long period of time, making more statistical releases as...
- picture_as_pdf FishGoTaVa2026-FOCS.pdf
- picture_as_pdf FishGoTaVa2026-ArXiv.pdf
- Publisher's Version
- ArXiv Version
Version History:
- Full version posted as arXiv:2604.10443 [cs.DS].
Abstract:
The differentially private (DP) facility location problem seeks to determine a socially optimal placement for a public facility while ensuring that each participating agent’s...
- picture_as_pdf PuttermanVaZa2026-CCC.pdf
- picture_as_pdf PuttermanVaZa2026-ArXiv.p...
- Publisher's Version
- ArXiv Version
Version History:
- Originally published as "Bounded Independence Edge Sampling for Combinatorial Graph Properties", arXiv:2603.25095 [cs.DS]
Abstract:
Random subsampling of edges is a commonly employed technique in graph algorithms, underlying a vast array of...
2025
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...