1 citations · 1 across the 4 of their papers we have counts for
7 papers
Signpost Watermarking: Joint Optimization for Visual Watermark Coexistence
Shruti Agarwal, Vishal Asnani, John Collomosse
We present a method for training imperceptible visual watermarks to coexist with other such watermarks. Recent work has shown that independently trained image watermarking models c…
FlowMark: Mask-Guided Video Watermarking
Vishal Asnani, Shruti Agarwal, John Collomosse
We present FlowMark, a video watermarking framework guided by automatically predicted object masks. In contrast to prior region-based approaches that require user-supplied mask gui…
What Do Deepfake Benchmarks Measure? An Audit Using Frozen Self-Supervised Representations
Samuel Pagon, Yixuan Shen, Vishal Asnani +1
As deepfake generators approach perceptual indistinguishability, reliable detection becomes critical. Yet, detectors that score well on benchmarks routinely fail in the wild. A con…
TokenTrace: Multi-Concept Attribution through Watermarked Token Recovery
Li Zhang, Shruti Agarwal, John Collomosse +2
Generative AI models pose a significant challenge to intellectual property (IP), as they can replicate unique artistic styles and concepts without attribution. While watermarking o…
Your Text Encoder Can Be An Object-Level Watermarking Controller
Naresh Kumar Devulapally, Mingzhen Huang, Vishal Asnani +3
Invisible watermarking of AI-generated images can help with copyright protection, enabling detection and identification of AI-generated media. In this work, we present a novel appr…
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
Xiao Guo, Vishal Asnani, Sijia Liu +1
Model Parsing defines the research task of predicting hyperparameters of the generative model (GM), given a generated image as input. Since a diverse set of hyperparameters is join…