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From the 1 of 5 linked papers with an AI index.

most citedProgram Analysis for Adaptive Data Analysis

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cs.PL20262 cited

Program Analysis for Adaptive Data Analysis

Jiawen Liu, Weihao Qu, Marco Gaboardi +2

Data analyses are usually designed to identify some property of the population from which the data are drawn, generalizing beyond the specific data sample. For this reason, data an…

cs.PL2026

A Type-and-Effect System for Temporal Dependency Analysis of Render-based Reactive Programs

June Wunder, Ankush Das, Marco Gaboardi

The paper introduces Willow, a core calculus and type‑and‑effect system that tracks timing effects in render‑based reactive programs, enabling static detection of temporal bugs suc…

cs.CR2026

A Bayesian Approach to Membership Inference for Statistical Release

Lisa Oakley, Sam Stites, Cameron Moy +3

The membership inference problem for publicly released statistics from a private dataset is well-studied. When developing and formally analyzing attack strategies, however, the foc…

cs.CR2026

Separating Oblivious and Adaptive Differential Privacy under Continual Observation

Mark Bun, Marco Gaboardi, Connor Wagaman

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 obli…

cs.PL2026

Outrunning Big KATs: Efficient Decision Procedures for Variants of GKAT

Cheng Zhang, Qiancheng Fu, Hang Ji +3

This paper presents several efficient decision procedures for trace equivalence of GKAT automata, which make use of on-the-fly symbolic techniques via SAT solvers. To demonstrate a…