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Ekta Prashnani

3 accepted papers

2025

Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation

NeurIPS 2025poster

Synthetic video generation is progressing very rapidly. The latest models can produce very realistic high-resolution videos that are virtually indistinguishable from real ones. Although several video forensic detectors have been recently proposed, they often exhibit poor generalization, which limits…

Cited by 0SourceScholar
2025

Unmasking Puppeteers: Leveraging Biometric Leakage to Expose Impersonation in AI-Based Videoconferencing

NeurIPS 2025poster

AI-based talking-head videoconferencing systems reduce bandwidth by transmitting a latent representation of a speaker’s pose and expression, which is used to synthesize frames on the receiver's end. However, these systems are vulnerable to “puppeteering” attacks, where an adversary controls the iden…

Cited by 0SourceScholar
2018

PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference

CVPR 2018poster

The ability to estimate the perceptual error between images is an important problem in computer vision with many applications. Although it has been studied extensively, however, no method currently exists that can robustly predict visual differences like humans. Some previous approaches used hand-co…