326 citations · 600 across the 23 of their papers we have counts for
24 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…
Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communities
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…
Cluster Paths: Navigating Interpretability in Neural Networks
Nicholas M. Kroeger, Vincent Bindschaedler
While modern deep neural networks achieve impressive performance in vision tasks, they remain opaque in their decision processes, risking unwarranted trust, undetected biases and u…
Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
Wenxuan Bao, Vincent Bindschaedler
There is a flurry of recent research papers proposing novel differentially private machine learning (DPML) techniques. These papers claim to achieve new state-of-the-art (SoTA) res…
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…
Towards Privacy-preserving Photorealistic Self-avatars in Mixed Reality
Ethan Wilson, Vincent Bindschaedler, Sophie Jörg +3
Photorealistic 3D avatar generation has rapidly improved in recent years, and realistic avatars that match a user's true appearance are more feasible in Mixed Reality (MR) than eve…