Nick Ceccio, Naman Gupta, Majed Almansoori, Rahul Chatterjee (University of Wisconsin-Madison)

Intimate partner violence (IPV) is a prevalent societal issue that affects many people globally. Unfortunately, abusers rely on technology to spy on their partners. Prior works show that victims and advocates fail to combat and prevent technology-enabled stalking due to their limited technical background. However, not much is known about this issue; why do victims and advocates struggle to combat technology-enabled stalking despite the ease of finding resources online? To answer this question, we aim to conduct a mixed-method study to explore smartphone usage patterns and internet search behavior while detecting and preventing technology-enabled abuse. In this future work, we plan to conduct a mixed-method between-group study to investigate the smartphone usage patterns and internet search behavior of participants helping their friend combat technology-enabled spying. We expect the tech-savvy participants to be more effective and time-efficient in finding and disabling stalking methods than non-tech-savvy participants.

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Accountable Javascript Code Delivery

Ilkan Esiyok (CISPA Helmholtz Center for Information Security), Pascal Berrang (University of Birmingham & Nimiq), Katriel Cohn-Gordon (Meta), Robert Künnemann (CISPA Helmholtz Center for Information Security)

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Towards Privacy-Preserving Platooning Services by means of Homomorphic Encryption

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

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Piyush Kumar Sharma (imec-COSIC, KU Leuven), Devashish Gosain (Max Planck Institute for Informatics), Claudia Diaz (Nym Technologies, SA and imec-COSIC, KU Leuven)

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Learning Automated Defense Strategies Using Graph-Based Cyber Attack Simulations

Jakob Nyber, Pontus Johnson (KTH Royal Institute of Technology)

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