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'Did They F***ing Consent to That?': Safer Digital Intimacy via Proactive Protection Against Image-Based Sexual Abuse

Autor: Qin, Lucy, Hamilton, Vaughn, Wang, Sharon, Aydinalp, Yigit, Scarlett, Marin, Redmiles, Elissa M.

As many as 8 in 10 adults share intimate content such as nude or lewd images. Sharing such content has significant benefits for relationship intimacy and body image, and can offer employment. However, stigmatizing attitudes and a lack of technologica

Externí odkaz: http://arxiv.org/abs/2403.04659

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You Still See Me: How Data Protection Supports the Architecture of AI Surveillance

Autor: Yew, Rui-Jie, Qin, Lucy, Venkatasubramanian, Suresh

Data forms the backbone of artificial intelligence (AI). Privacy and data protection laws thus have strong bearing on AI systems. Shielded by the rhetoric of compliance with data protection and privacy regulations, privacy-preserving techniques have

Externí odkaz: http://arxiv.org/abs/2402.06609

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Outside Looking In: Approaches to Content Moderation in End-to-End Encrypted Systems

Autor: Kamara, Seny, Knodel, Mallory, Llansó, Emma, Nojeim, Greg, Qin, Lucy, Thakur, Dhanaraj, Vogus, Caitlin

In this paper, we assess existing technical proposals for content moderation in End-to-End Encryption (E2EE) services. First, we explain the various tools in the content moderation toolbox, how they are used, and the different phases of the moderatio

Externí odkaz: http://arxiv.org/abs/2202.04617

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