activity
20122024
most citedConstructing elastic distinguishability metrics for location privacy

97 citations · 158 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CR2024

Clap: a Semantic-Preserving Optimizing eDSL for Plonkish Proof Systems

Marco Stronati, Denis Firsov, Antonio Locascio +1

Plonkish is a popular circuit format for developing zero-knowledge proof systems that powers a number of major projects in the blockchain space, responsible for holding billions of…

cs.CR2018★ 10 cited

When Good Components Go Bad: Formally Secure Compilation Despite Dynamic Compromise

Carmine Abate, Arthur Azevedo de Amorim, Roberto Blanco +8

We propose a new formal criterion for evaluating secure compilation schemes for unsafe languages, expressing end-to-end security guarantees for software components that may become…

cs.CR2017★ 1 cited

Formally Secure Compilation of Unsafe Low-Level Components (Extended Abstract)

Guglielmo Fachini, Catalin Hritcu, Marco Stronati +5

We propose a new formal criterion for secure compilation, providing strong security guarantees for components written in unsafe, low-level languages with C-style undefined behavior…

cs.CR2017★ 8 cited

Robust Hyperproperty Preservation for Secure Compilation (Extended Abstract)

Deepak Garg, Catalin Hritcu, Marco Patrignani +2

We map the space of soundness criteria for secure compilation based on the preservation of hyperproperties in arbitrary adversarial contexts, which we call robust hyperproperty pre…

cs.CR2016★ 12 cited

Membership Inference Attacks against Machine Learning Models

Reza Shokri, Marco Stronati, Congzheng Song +1

We quantitatively investigate how machine learning models leak information about the individual data records on which they were trained. We focus on the basic membership inference…

cs.CR2015★ 97 cited

Constructing elastic distinguishability metrics for location privacy

Konstantinos Chatzikokolakis, Catuscia Palamidessi, Marco Stronati

With the increasing popularity of hand-held devices, location-based applications and services have access to accurate and real-time location information, raising serious privacy co…

cs.CR2013★ 6 cited

A Predictive Differentially-Private Mechanism for Mobility Traces

Konstantinos Chatzikokolakis, Catuscia Palamidessi, Marco Stronati

With the increasing popularity of GPS-enabled hand-held devices, location-based applications and services have access to accurate and real-time location information, raising seriou…

cs.CR2012★ 24 cited

Differential Privacy for Relational Algebra: Improving the Sensitivity Bounds via Constraint Systems

Catuscia Palamidessi, Marco Stronati

Differential privacy is a modern approach in privacy-preserving data analysis to control the amount of information that can be inferred about an individual by querying a database.…