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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A Case Study on Fuzzing Satellite Firmware

Tobias Scharnowski and Felix Buchmann (Ruhr-Universitat Bochum), Simon Woerner and Thorsten Holz (CISPA Helmholtz Center for Information Security) Presenter: Tobias Scharnowski

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PISE: Protocol Inference using Symbolic Execution and Automata Learning

Ron Marcovich, Orna Grumberg, Gabi Nakibly (Technion, Israel Institute of Technology)

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Reconciling the Hacker Spirit

Yan Shoshitaishvili (Arizona State University)

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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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