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20232026
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23 citations · 28 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

On the Robustness of Watermarking for Autoregressive Image Generation

Andreas Müller, Denis Lukovnikov, Shingo Kodama +5

The proliferation of autoregressive (AR) image generators demands reliable detection and attribution of their outputs to mitigate misinformation, and to filter synthetic images fro…

cs.CV2025

Forging and Removing Latent-Noise Diffusion Watermarks Using a Single Image

Anubhav Jain, Yuya Kobayashi, Naoki Murata +6

Watermarking techniques are vital for protecting intellectual property and preventing fraudulent use of media. Most previous watermarking schemes designed for diffusion models embe…

cs.CV2024★ 1 cited

Hidden in the Noise: Two-Stage Robust Watermarking for Images

Kasra Arabi, Benjamin Feuer, R. Teal Witter +2

As the quality of image generators continues to improve, deepfakes become a topic of considerable societal debate. Image watermarking allows responsible model owners to detect and…

cs.CV2024

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification

Benjamin Feuer, Jiawei Xu, Niv Cohen +3

Data curation is the problem of how to collect and organize samples into a dataset that supports efficient learning. Despite the centrality of the task, little work has been devote…

cs.CV2024★ 2 cited

Robust Concept Erasure Using Task Vectors

Minh Pham, Kelly O. Marshall, Chinmay Hegde +1

With the rapid growth of text-to-image models, a variety of techniques have been suggested to prevent undesirable image generations. Yet, these methods often only protect against s…