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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HERA: Hotpatching of Embedded Real-time Applications

Christian Niesler (University of Duisburg-Essen), Sebastian Surminski (University of Duisburg-Essen), Lucas Davi (University of Duisburg-Essen)

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Model-Agnostic Defense for Lane Detection against Adversarial Attack

Henry Xu, An Ju, and David Wagner (UC Berkeley) Baidu Security Auto-Driving Security Award Winner ($1000 cash prize)!

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Cross-National Study on Phishing Resilience

Shakthidhar Reddy Gopavaram (Indiana University), Jayati Dev (Indiana University), Marthie Grobler (CSIRO’s Data61), DongInn Kim (Indiana University), Sanchari Das (University of Denver), L. Jean Camp (Indiana University)

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icLibFuzzer: Isolated-context libFuzzer for Improving Fuzzer Comparability

Yu-Chuan Liang, Hsu-Chun Hsiao (National Taiwan University)

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