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

22 / 22 papers shown
Title
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
Andreas Müller
Denis Lukovnikov
Jonas Thietke
Asja Fischer
Erwin Quiring
AAML
WIGM
296
5
0
04 Dec 2024
An Undetectable Watermark for Generative Image Models
An Undetectable Watermark for Generative Image Models
Sam Gunn
Xuandong Zhao
Dawn Song
WIGM
51
12
0
09 Oct 2024
Using AI Assistants in Software Development: A Qualitative Study on
  Security Practices and Concerns
Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns
J. Klemmer
Stefan Albert Horstmann
Nikhil Patnaik
Cordelia Ludden
Cordell Burton
...
Daniel Votipka
H. Lipford
Awais Rashid
Alena Naiakshina
University of North Carolina at Charlotte
57
18
0
10 May 2024
An Analysis of Recent Advances in Deepfake Image Detection in an
  Evolving Threat Landscape
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Sifat Muhammad Abdullah
Aravind Cheruvu
Shravya Kanchi
Taejoong Chung
Peng Gao
Murtuza Jadliwala
Bimal Viswanath
AAML
46
14
0
24 Apr 2024
RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key
  Identification
RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification
Hai Ci
Pei Yang
Yiren Song
Mike Zheng Shou
48
32
0
22 Apr 2024
Gaussian Shading: Provable Performance-Lossless Image Watermarking for
  Diffusion Models
Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models
Zijin Yang
Kai Zeng
Kejiang Chen
Han Fang
Weiming Zhang
Neng H. Yu
DiffM
WIGM
48
46
0
07 Apr 2024
Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How
Abdallah El Ali
Karthikeya Puttur Venkatraj
Sophie Morosoli
Laurens Naudts
Natali Helberger
Pablo César
58
15
0
11 Mar 2024
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using
  Autoencoder Reconstruction Error
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
Jonas Ricker
Denis Lukovnikov
Asja Fischer
72
34
0
31 Jan 2024
The effect of source disclosure on evaluation of AI-generated messages:
  A two-part study
The effect of source disclosure on evaluation of AI-generated messages: A two-part study
Sue Lim
Ralf Schmälzle
20
23
0
27 Nov 2023
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Hanlin Zhang
Benjamin L. Edelman
Danilo Francati
Daniele Venturi
G. Ateniese
Boaz Barak
WaLM
157
57
0
07 Nov 2023
Robustness of AI-Image Detectors: Fundamental Limits and Practical
  Attacks
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
Mehrdad Saberi
Vinu Sankar Sadasivan
Keivan Rezaei
Aounon Kumar
Atoosa Malemir Chegini
Wenxiao Wang
Soheil Feizi
WIGM
AAML
57
43
0
29 Sep 2023
Invisible Image Watermarks Are Provably Removable Using Generative AI
Invisible Image Watermarks Are Provably Removable Using Generative AI
Xuandong Zhao
Kexun Zhang
Zihao Su
Saastha Vasan
Ilya Grishchenko
Christopher Kruegel
Giovanni Vigna
Yu Wang
Lei Li
WIGM
51
55
0
02 Jun 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez
Guillaume Couairon
Hervé Jégou
Matthijs Douze
Teddy Furon
WIGM
79
183
0
27 Mar 2023
Examining the Impact of Provenance-Enabled Media on Trust and Accuracy
  Perceptions
Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
K. J. Kevin Feng
Nick Ritchie
Pia Blumenthal
Andy Parsons
Amy X. Zhang
57
17
0
21 Mar 2023
Towards Universal Fake Image Detectors that Generalize Across Generative
  Models
Towards Universal Fake Image Detectors that Generalize Across Generative Models
Utkarsh Ojha
Yuheng Li
Yong Jae Lee
27
225
0
20 Feb 2023
Are GAN generated images easy to detect? A critical analysis of the
  state-of-the-art
Are GAN generated images easy to detect? A critical analysis of the state-of-the-art
Diego Gragnaniello
D. Cozzolino
Francesco Marra
Giovanni Poggi
L. Verdoliva
77
171
0
06 Apr 2021
Why Older Adults (Don't) Use Password Managers
Why Older Adults (Don't) Use Password Managers
Hirak Ray
Flynn Wolf
Ravi Kuber
Adam J. Aviv
8
56
0
05 Oct 2020
Adapting Security Warnings to Counter Online Disinformation
Adapting Security Warnings to Counter Online Disinformation
Ben Kaiser
Jerry W. Wei
Elena Lucherini
Kevin Lee
J. N. Matias
Jonathan R. Mayer
64
64
0
25 Aug 2020
CNN-generated images are surprisingly easy to spot... for now
CNN-generated images are surprisingly easy to spot... for now
Sheng-Yu Wang
Oliver Wang
Richard Y. Zhang
Andrew Owens
Alexei A. Efros
OOD
91
965
0
23 Dec 2019
StegaStamp: Invisible Hyperlinks in Physical Photographs
StegaStamp: Invisible Hyperlinks in Physical Photographs
Matthew Tancik
B. Mildenhall
Ren Ng
WIGM
45
364
0
10 Apr 2019
HiDDeN: Hiding Data With Deep Networks
HiDDeN: Hiding Data With Deep Networks
Jiren Zhu
Russell Kaplan
Justin Johnson
Li Fei-Fei
WIGM
33
745
0
26 Jul 2018
Fitting Linear Mixed-Effects Models using lme4
Fitting Linear Mixed-Effects Models using lme4
D. Bates
M. Machler
B. Bolker
Steven C. Walker
KELM
29
71,313
0
23 Jun 2014
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