4 papers
"What I See is What I Hear": Deepfake Detection Across Diverse Hearing Abilities
Magdalena Pasternak, Malvika Jadhav, Palavi V. Bhole +8
The proliferation of audiovisual deepfakes has lowered the cost of fraud, impersonation, and misinformation, but their success ultimately depends on human perception. Detection req…
It Takes a Forum: Resources & Stakeholders Sustaining the Online Synthetic Non-Consensual Intimate Image Creation Ecosystem
Bernardo B. P. Medeiros, Malvika Jadhav, Allison Lu +3
Many malicious actors responsible for disseminating synthetic non-consensual intimate imagery (SNCII) operate within internet forums to exchange resources, strategies, and generate…
Thwart Me If You Can: An Empirical Analysis of Android Platform Armoring Against Stalkerware
Malvika Jadhav, Wenxuan Bao, Vincent Bindschaedler
Stalkerware is a serious threat to individuals' privacy that is receiving increased attention from the security and privacy research communities. Existing works have largely focuse…
Inference Attacks for X-Vector Speaker Anonymization
Luke Bauer, Wenxuan Bao, Malvika Jadhav +1
We revisit the privacy-utility tradeoff of x-vector speaker anonymization. Existing approaches quantify privacy through training complex speaker verification or identification mode…