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Security Benefits and Side Effects of Labeling AI-Generated Images

Security Benefits and Side Effects of Labeling AI-Generated Images

28 May 2025
Sandra Höltervennhoff
Jonas Ricker
Maike M. Raphael
Charlotte Schwedes
Rebecca Weil
Asja Fischer
Thorsten Holz
Lea Schonherr
Sascha Fahl
ArXiv (abs)PDFHTML

Papers citing "Security Benefits and Side Effects of Labeling AI-Generated Images"

4 / 4 papers shown
Title
First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge
First-Place Solution to NeurIPS 2024 Invisible Watermark Removal Challenge
Fahad Shamshad
Tameem Bakr
Yahia Shaaban
Noor Hussein
Karthik Nandakumar
Nils Lukas
76
1
0
28 Aug 2025
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2024
Andreas Müller
Denis Lukovnikov
Jonas Thietke
Asja Fischer
Erwin Quiring
AAMLWIGM
787
18
0
04 Dec 2024
An Undetectable Watermark for Generative Image Models
An Undetectable Watermark for Generative Image ModelsIACR Cryptology ePrint Archive (IACR ePrint), 2024
Sam Gunn
Xuandong Zhao
Dawn Song
WIGM
395
43
0
09 Oct 2024
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative ModelsIACR Cryptology ePrint Archive (IACR ePrint), 2023
Hanlin Zhang
Benjamin L. Edelman
Danilo Francati
Daniele Venturi
G. Ateniese
Boaz Barak
WaLM
593
82
0
07 Nov 2023
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