Sarah Tabassum (University of North Carolina at Charlotte, USA), Narges Zare (University of North Carolina at Charlotte, USA), Cori Faklaris(University of North Carolina at Charlotte, USA)

In today’s digital world, migrants stay connected to family, institutions, and services across borders, but this reliance on digital communication also exposes them to unfamiliar risks when they enter new technological and cultural environments. Educational migrants (also known as international students) depend on online platforms to manage admission, housing, work, and everyday life in the United States. Yet this transition often introduces an unfamiliar and fragmented digital ecosystem where they encounter privacy and security threats such as phishing, identity fraud, and cross-channel scams. Existing security tools rarely consider the situated vulnerabilities of newcomers who must interpret these threats without local knowledge or culturally familiar cues. To investigate these challenges, we conducted participatory design sessions with 22 educational migrants from Global South countries studying in the United States. Using inductive open coding within a reflexive thematic analysis framework, we identified seven themes of desired features. Participants proposed a range of support mechanisms, including transparent reporting and verification workflows, scam filtering, migrant-focused scam databases, and university-integrated safety tools Participants also mapped their concepts to high-level AI capabilities, emphasizing detection, identification, and interpretable explanations. Our findings highlight the need for transparent, culturally grounded, and context-aware digital safety supports for newcomers during their early experiences in the U.S. digital ecosystem.

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ADGFUZZ: Assignment Dependency-Guided Fuzzing for Robotic Vehicles

Yuncheng Wang (Institute of Information Engineering, CAS, China and School of Cyber Security, University of Chinese Academy of Sciences, China), Yaowen Zheng (Institute of Information Engineering, CAS, China and School of Cyber Security, University of Chinese Academy of Sciences, China), Puzhuo Liu (Tsinghua University, China and Ant Group, China), Dongliang Fang (Institute of Information Engineering,…

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PortRush: Detect Write Port Contention Side-Channel Vulnerabilities via Hardware...

Peihong Lin (National University of Defense Technology), Pengfei Wang (National University of Defense Technology), Lei Zhou (National University of Defense Technology), Gen Zhang (National University of Defense Technology), Xu Zhou (National University of Defense Technology), Wei Xie (National University of Defense Technology), Zhiyuan Jiang (National University of Defense Technology), Kai Lu (National University of Defense…

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Looma: A Low-Latency PQTLS Authentication Architecture for Cloud Applications

Xinshu Ma (University of Edinburgh), Michio Honda (University of Edinburgh)

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