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20242026
most citedSoK: Data Minimization in Machine Learning

1 citations · 1 across the 8 of their papers we have counts for

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cs.CR2026

From Positionwise Confidence to Prefix Scheduling: Verifier Skipping in Speculative Decoding

Haoxuan Luo, Jameson Sandler, Ferdinando Fioretto

Speculative decoding is a leading technique to reduce the cost of autoregressive generation by using a small drafter to propose several tokens, which are then verified in parallel…

cs.CR2025

Beyond Jailbreaking: Auditing Contextual Privacy in LLM Agents

Saswat Das, Jameson Sandler, Ferdinando Fioretto

LLM agents have begun to appear as personal assistants, customer service bots, and clinical aides. While these applications deliver substantial operational benefits, they also requ…

cs.CR2025

Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes

Joonhyuk Ko, Juba Ziani, Saswat Das +2

Statistical agencies rely on sampling techniques to collect socio-demographic data crucial for policy-making and resource allocation. This paper shows that surveys of important soc…

cs.CR2024

Differential Privacy Overview and Fundamental Techniques

Ferdinando Fioretto, Pascal Van Hentenryck, Juba Ziani

This chapter is meant to be part of the book "Differential Privacy in Artificial Intelligence: From Theory to Practice" and provides an introduction to Differential Privacy. It sta…

cs.CR2024

Differentially Private Data Release on Graphs: Inefficiencies and Unfairness

Ferdinando Fioretto, Diptangshu Sen, Juba Ziani

Networks are crucial components of many sectors, including telecommunications, healthcare, finance, energy, and transportation.The information carried in such networks often contai…