activity
20232025
most citedSanitizing Hidden Information with Diffusion Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities

Dung Thuy Nguyen, Quang Nguyen, Preston K. Robinette +3

Recent advances in 3D-aware generative models have enabled high-fidelity image synthesis of human identities. However, this progress raises urgent questions around user consent and…

cs.CV2025

Blind Visible Watermark Removal with Morphological Dilation

Preston K. Robinette, Taylor T. Johnson

Visible watermarks pose significant challenges for image restoration techniques, especially when the target background is unknown. Toward this end, we present MorphoMod, a novel me…

cs.CV2024

EditScout: Locating Forged Regions from Diffusion-based Edited Images with Multimodal LLM

Quang Nguyen, Truong Vu, Trong-Tung Nguyen +6

Image editing technologies are tools used to transform, adjust, remove, or otherwise alter images. Recent research has significantly improved the capabilities of image editing tool…

cs.CR2024

Trigger-Based Fragile Model Watermarking for Image Transformation Networks

Preston K. Robinette, Dung T. Nguyen, Samuel Sasaki +1

In fragile watermarking, a sensitive watermark is embedded in an object in a manner such that the watermark breaks upon tampering. This fragile process can be used to ensure the in…

cs.CR2023★ 1 cited

Sanitizing Hidden Information with Diffusion Models

Preston K. Robinette, Daniel Moyer, Taylor T. Johnson

Information hiding is the process of embedding data within another form of data, often to conceal its existence or prevent unauthorized access. This process is commonly used in var…