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20242026
most citedDesign of Stochastic Quantizers for Privacy Preservation

5 citations · 6 across the 11 of their papers we have counts for

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6 papers · 1 filter

eess.SY2026

Design of Privacy-Preserving Estimators Under Prior Information Exposure

Le Liu, Yu Kawano, Ming Cao

State estimation is widely used in networked dynamical systems, but released estimates may inadvertently reveal sensitive information about private state variables. Existing privac…

quant-ph2026

PureSuperQMA(exp) = BellPureSymQMA(poly) = QMA via Dimension-Free Bosonic Argmax

William Gay, Fernando Granha Jeronimo, Lenny Liu +3

Pure-state consistency problems naturally lead to quantum proof systems in which a single pure witness must satisfy many acceptance constraints. The corresponding class $\mathsf{Pu…

cs.IT2026

The Honeycomb Framework for Code Bounds

William Gay, Fernando Granha Jeronimo, Lenny Liu

We introduce the honeycomb hierarchy, a representation-theoretic framework that gives new asymptotic upper bounds on . Its first level is the two-row hyperoctahedral repres…

quant-ph2026

Dimension-Free Polylogarithmic Quantum Shadow Tomography

Fernando Granha Jeronimo, Qizhao Huang, Lenny Liu

Shadow Tomography is a fundamental problem in quantum information theory. Given multiple copies of an unknown -dimensional quantum state and a known collection of observable…

cs.RO2026

Fairness risk and its privacy-enabled solution in AI-driven robotic applications

Le Liu, Bangguo Yu, Nynke Vellinga +1

Complex decision-making by autonomous machines and algorithms could underpin the foundations of future society. Generative AI is emerging as a powerful engine for such transitions.…

cs.IT2026

Optimal Proximity Gap for Folded Reed--Solomon Codes via Subspace Designs

Fernando Granha Jeronimo, Lenny Liu, Pranav Rajpal

A collection of sets satisfies a -proximity gap with respect to some property if for every set in the collection, either (i) all members of the set are -close t…