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Related publications (5)

Protecting privacy through metadata analysis

Sandra Deepthy Siby

Although encryption hides the content of communications from third parties, metadata, i.e., the information attached to the content (such as the size or timing of communication) can be a rich source of details and context. In this dissertation, we demonstr ...

EPFL2022

Privacy failure in the public-key distance-bounding protocols

Serge Vaudenay

Public-key distance bounding protocols are well suited to defeat relay attacks in proximity access control systems when the author assume no prior shared key. At AsiaCCS 2014, Gambs, Onete, and Robert designed such a protocol with privacy protection for th ...

Inst Engineering Technology-Iet2016

Differential Privacy with Bounded Priors: Reconciling Utility and Privacy in Genome-Wide Association Studies

Jean-Pierre Hubaux, Erman Ayday, Zhicong Huang, Florian Tramèr

Differential privacy (DP) has become widely accepted as a rigorous definition of data privacy, with stronger privacy guarantees than traditional statistical methods. However, recent studies have shown that for reasonable privacy budgets, differential priva ...

2015

Non-Cooperative Location Privacy

Jean-Pierre Hubaux, Julien Freudiger, David C. Parkes

In mobile networks, authentication is a required primitive for most security protocols. Unfortunately, an adversary can monitor pseudonyms used for authentication to track the location of mobile nodes. A frequently proposed solution to protect location pri ...

Ieee Computer Soc2013

Distributed Constraint Optimization : Privacy Guarantees and Stochastic Uncertainty

Thomas Léauté

Distributed Constraint Satisfaction (DisCSP) and Distributed Constraint Optimization (DCOP) are formal frameworks that can be used to model a variety of problems in which multiple decision-makers cooperate towards a common goal: from computing an equilibri ...

EPFL2011

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