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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Lavanya Sajwan, James Noble, Craig Anslow (Victoria University of Wellington), Robert Biddle (Carleton University)

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Kaiming Cheng (University of Washington), Mattea Sim (Indiana University), Tadayoshi Kohno (University of Washington), Franziska Roesner (University of Washington)

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Shikun Zhang, Norman Sadeh (Carnegie Mellon University)

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Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

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Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)