Nicolas Quero (Expleo France), Aymen Boudguiga (CEA LIST), Renaud Sirdey (CEA LIST), Nadir Karam (Expleo France)

Platooning is an upcoming technology which aims at improving transportation by allowing a leading human-driven vehicle to automatically guide multiple trucks to their respective destinations, saving driver time, improving road efficiency and reducing gas consumption. However, efficient linkage of trucks to platoons requires the centralization and processing of business-critical data which truck operators are not willing to disclose. In order to address these issues, we investigate how homomorphic encryption can be used at the core of a protocol for privately linking a vehicle to a nearby platoon without disclosing its location and destination. Furthermore, we provide experimental results illustrating that such protocols achieve acceptable performances and latencies at practical platoon database scales (serving around 500 simultaneous clients on a single platooning server processor core with sub second latency over databases of up to ≈60000 platoons scattered among over 250 destinations).

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Improving In-vehicle Networks Intrusion Detection Using On-Device Transfer Learning

Sampath Rajapaksha (Robert Gordon University), Harsha Kalutarage (Robert Gordon University), M.Omar Al-Kadri (Birmingham City University), Andrei Petrovski (Robert Gordon University), Garikayi Madzudzo (Horiba Mira Ltd)

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Folk Models of Misinformation on Social Media

Filipo Sharevski (DePaul University), Amy Devine (DePaul University), Emma Pieroni (DePaul University), Peter Jachim (DePaul University)

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RAI2: Responsible Identity Audit Governing the Artificial Intelligence

Tian Dong (Shanghai Jiao Tong University), Shaofeng Li (Shanghai Jiao Tong University), Guoxing Chen (Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61), Haojin Zhu (Shanghai Jiao Tong University), Zhen Liu (Shanghai Jiao Tong University)

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