Evaluation of Security of ML-based Watermarking: Copy and Removal
Attacks

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Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks

26 September 2024

Vitaliy Kinakh

Pierre Fernandez

Slava Voloshynovskiy

ArXiv (abs)PDF HTML Github (3★)

Papers citing "Evaluation of Security of ML-based Watermarking: Copy and Removal Attacks"

6 / 6 papers shown

Title
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models Andreas Müller Denis Lukovnikov Jonas Thietke Asja Fischer Erwin Quiring AAML WIGM 430 6 0 04 Dec 2024
Watermarking Images in Self-Supervised Latent Spaces Pierre Fernandez Alexandre Sablayrolles Teddy Furon Hervé Jégou Matthijs Douze WIGM 60 87 0 17 Dec 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 732 6,135 0 29 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
ROMark: A Robust Watermarking System Using Adversarial Training Huiying Li Sergul Aydore AAML 54 39 0 02 Oct 2019
HiDDeN: Hiding Data With Deep Networks Jiren Zhu Russell Kaplan Justin Johnson Li Fei-Fei WIGM 54 755 0 26 Jul 2018

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