activity
20122018
most citedConstructing elastic distinguishability metrics for location privacy

97 citations · 130 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CR2018

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.CR20171 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.CR20178 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.CR201597 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.CR201224 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.…