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Found 11 papers, 3 papers with code
Your Text Encoder Can Be An Object-Level Watermarking Controller
Invisible watermarking of AI-generated images can help with copyright protection, enabling detection and identification of AI-generated media.
On the Coexistence and Ensembling of Watermarks
We perform the first study of coexistence of deep image watermarking methods and, contrary to intuition, we find that various open-source watermarks can coexist with only minor impacts on image quality and decoding robustness.
Self-Improving Diffusion Models with Synthetic Data
Unfortunately, training new generative models with synthetic data from current or past generation models creates an autophagous (self-consuming) loop that degrades the quality and/or diversity of the synthetic data in what has been termed model autophagy disorder (MAD) and model collapse.
Ranked #1 on
Image Generation
on ImageNet 64x64
ProMark: Proactive Diffusion Watermarking for Causal Attribution
ProMark can maintain image quality whilst outperforming correlation-based attribution.
TrustMark: Universal Watermarking for Arbitrary Resolution Images
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.
An Evaluation of Forensic Facial Recognition
Recent advances in machine learning and computer vision have led to reported facial recognition accuracies surpassing human performance.
EKILA: Synthetic Media Provenance and Attribution for Generative Art
We present EKILA; a decentralized framework that enables creatives to receive recognition and reward for their contributions to generative AI (GenAI).
RoSteALS: Robust Steganography using Autoencoder Latent Space
Data hiding such as steganography and invisible watermarking has important applications in copyright protection, privacy-preserved communication and content provenance.
Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion
In today's era of digital misinformation, we are increasingly faced with new threats posed by video falsification techniques.
A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens
A dynamic treatment regimen (DTR) is a set of decision rules to personalize treatments for an individual using their medical history.
Detecting Deep-Fake Videos from Appearance and Behavior
Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities.
