Gennaro Avitabile, Vincenzo Botta, Vincenzo Iovino, and Ivan Visconti (University of Salerno)

Automatic contact tracing is currently used in several countries in order to limit the spread of SARS-CoV-2. Many governments decided to develop smartphone apps based on the “Exposure Notifications” designed by Apple and Google according to a decentralized approach previously proposed by the DP-3T team. Decentralization was pushed as a key feature to protect privacy in contrast to centralized approaches that could leverage automatic contact tracing to realize mass-surveillance programs.

In this work, taking into account the privacy and integrity vulnerabilities of DP-3T systems, we show the design of a decentralized contact tracing system named Pronto-C2 that has better resilience against various attacks. We also discuss the significant overhead of Pronto-C2 when used in real-world scenarios.

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Differentially Private Health Tokens for Estimating COVID-19 Risk

David Butler, Chris Hicks, James Bell, Carsten Maple, and Jon Crowcroft (The Alan Turing Institute)

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POSEIDON: Privacy-Preserving Federated Neural Network Learning

Sinem Sav (EPFL), Apostolos Pyrgelis (EPFL), Juan Ramón Troncoso-Pastoriza (EPFL), David Froelicher (EPFL), Jean-Philippe Bossuat (EPFL), Joao Sa Sousa (EPFL), Jean-Pierre Hubaux (EPFL)

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FlowLens: Enabling Efficient Flow Classification for ML-based Network Security...

Diogo Barradas (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), Nuno Santos (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), Luis Rodrigues (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), Salvatore Signorello (LASIGE, Faculdade de Ciências, Universidade de Lisboa), Fernando M. V. Ramos (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), André Madeira (INESC-ID, Instituto Superior Técnico, Universidade de…

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