Search Results for author: Shruti Agarwal

Found 8 papers, 2 papers with code

Detecting Deep-Fake Videos from Appearance and Behavior

no code implementations29 Apr 2020 Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim

Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities.

Metric Learning

A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens

no code implementations13 Jul 2021 Palash Ghosh, Trikay Nalamada, Shruti Agarwal, Maria Jahja, Bibhas Chakraborty

A dynamic treatment regimen (DTR) is a set of decision rules to personalize treatments for an individual using their medical history.

Q-Learning

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

1 code implementation21 Dec 2021 Shruti Agarwal, Liwen Hu, Evonne Ng, Trevor Darrell, Hao Li, Anna Rohrbach

In today's era of digital misinformation, we are increasingly faced with new threats posed by video falsification techniques.

Misinformation

RoSteALS: Robust Steganography using Autoencoder Latent Space

1 code implementation6 Apr 2023 Tu Bui, Shruti Agarwal, Ning Yu, John Collomosse

Data hiding such as steganography and invisible watermarking has important applications in copyright protection, privacy-preserved communication and content provenance.

Denoising

EKILA: Synthetic Media Provenance and Attribution for Generative Art

no code implementations10 Apr 2023 Kar Balan, Shruti Agarwal, Simon Jenni, Andy Parsons, Andrew Gilbert, John Collomosse

We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI).

An Evaluation of Forensic Facial Recognition

no code implementations10 Nov 2023 Justin Norman, Shruti Agarwal, Hany Farid

Recent advances in machine learning and computer vision have led to reported facial recognition accuracies surpassing human performance.

Face Recognition

TrustMark: Universal Watermarking for Arbitrary Resolution Images

no code implementations30 Nov 2023 Tu Bui, Shruti Agarwal, John Collomosse

We propose TrustMark - a GAN-based watermarking method with novel design in architecture and spatio-spectra losses to balance the trade-off between watermarked image quality with the watermark recovery accuracy.

Misinformation

ProMark: Proactive Diffusion Watermarking for Causal Attribution

no code implementations14 Mar 2024 Vishal Asnani, John Collomosse, Tu Bui, Xiaoming Liu, Shruti Agarwal

ProMark can maintain image quality whilst outperforming correlation-based attribution.

Attribute

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