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Alaa Daffalla

Publications and source records attributed to Alaa Daffalla.

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Dual-Use AI Face Swap Apps Are Mostly Unsafe: A Systematic Safety Audit

AI-based image editing tools, such as face swapping algorithms, can be used to transform a clothed image of a person into a sexually explicit image of that person. These tools are made easily accessible to non-expert users through mobile apps, and have been linked to reports of image-based sexual abuse and cyberbullying involving synthetic non-consensual intimate imagery. Apple and Google have begun to remove "nudification" apps from their platforms: apps that are marketed with the capability to "undress", "nudify", or create nude face swaps from images of people. However, AI image editing apps that have the same underlying capabilities, but do not present as nudification apps could be also abused to create non-consensual explicit images. In this paper, we investigate whether AI face swap apps for iOS and Android implement safety measures to prevent the creation of SNCII. We identified and downloaded 420 face swap apps, and manually tested 155 eligible apps to see whether they would permit the user to create face swaps with nude images. Our evaluation shows that 70% of apps with face swap functionality have no technical safeguards against generation of nude images. Additionally, we investigated whether face swap apps' descriptions, terms of service, or privacy policies addressed harmful uses of the app, finding that no apps self-describe as nudification apps, but that the majority do not have specific terms of service provisions prohibiting this kind of use. Our findings suggest that to mitigate the threat of UI-bound SNCII threats, platforms and lawmakers must implement policies to mandate safety filters in dual-use AI image editing applications like face swap apps.

cs.CY

SoK: Safer Digital-Safety Research Involving At-Risk Users

Research involving at-risk users -- that is, users who are more likely to experience a digital attack or to be disproportionately affected when harm from such an attack occurs -- can pose significant safety challenges to both users and researchers. Nevertheless, pursuing research in computer security and privacy is crucial to understanding how to meet the digital-safety needs of at-risk users and to design safer technology for all. To standardize and bolster safer research involving such users, we offer an analysis of 196 academic works to elicit 14 research risks and 36 safety practices used by a growing community of researchers. We pair this inconsistent set of reported safety practices with oral histories from 12 domain experts to contribute scaffolded and consolidated pragmatic guidance that researchers can use to plan, execute, and share safer digital-safety research involving at-risk users. We conclude by suggesting areas for future research regarding the reporting, study, and funding of at-risk user research

cs.CY