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Synthetic nonconsensual explicit imagery, also referred to as “deepfake nudes”, is becoming faster and easier to generate. In the last year, synthetic nonconsensual explicit imagery was reported in at least ten US middle and high schools, generated by students of other students. Teachers are at the front lines of this new form of image abuse and have a valuable perspective on threat models in this context. We interviewed 17 US teachers to understand their opinions and concerns about synthetic nonconsensual explicit imagery in schools. No teachers knew of it happening at their schools, but most expected it to be a growing issue. Teachers proposed many interventions, such as improving reporting mechanisms, focusing on consent in sex education, and updating technology policies. However, teachers disagreed about appropriate consequences for students who create such images. We unpack our findings relative to differing models of justice, sexual violence, and sociopolitical challenges within schools.more » « lessFree, publicly-accessible full text available April 25, 2026
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Yeung, Christina; Kohno, Tadayoshi; Roesner, Franziska (, ACM)Free, publicly-accessible full text available November 4, 2025
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Yeung, Christina; Iqbal, Umar; Kohno, Tadayoshi; Roesner, Franziska (, Proceedings of the ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization)
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Yeung, Christina; Iqbal, Umar; O'Neil, Yekaterina Tsipenyuk; Kohno, Tadayoshi; Roesner, Franziska (, ACM)
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