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DE-FAKE: Detection and Attribution of Fake Images Generated by
  Text-to-Image Generation Models

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

13 October 2022
Zeyang Sha
Zheng Li
Ning Yu
Yang Zhang
    DiffM
ArXivPDFHTML

Papers citing "DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models"

34 / 84 papers shown
Title
User-Friendly Customized Generation with Multi-Modal Prompts
User-Friendly Customized Generation with Multi-Modal Prompts
Linhao Zhong
Yan Hong
Wentao Chen
Binglin Zhou
Yiyi Zhang
Jianfu Zhang
Liqing Zhang
DiffM
45
0
0
26 May 2024
Synthetic Image Verification in the Era of Generative AI: What Works and
  What Isn't There Yet
Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet
D. Tariang
Riccardo Corvi
D. Cozzolino
Giovanni Poggi
Koki Nagano
L. Verdoliva
48
8
0
30 Apr 2024
SIDBench: A Python Framework for Reliably Assessing Synthetic Image
  Detection Methods
SIDBench: A Python Framework for Reliably Assessing Synthetic Image Detection Methods
Manos Schinas
Symeon Papadopoulos
VLM
EGVM
40
8
0
29 Apr 2024
Trinity Detector:text-assisted and attention mechanisms based spectral
  fusion for diffusion generation image detection
Trinity Detector:text-assisted and attention mechanisms based spectral fusion for diffusion generation image detection
Jiawei Song
Dengpan Ye
Yunming Zhang
DiffM
24
3
0
26 Apr 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
29
11
0
24 Apr 2024
DeepFeatureX Net: Deep Features eXtractors based Network for
  discriminating synthetic from real images
DeepFeatureX Net: Deep Features eXtractors based Network for discriminating synthetic from real images
Orazio Pontorno
Luca Guarnera
Sebastiano Battiato
32
4
0
24 Apr 2024
The Adversarial AI-Art: Understanding, Generation, Detection, and
  Benchmarking
The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
Yuying Li
Zeyan Liu
Junyi Zhao
Liangqin Ren
Fengjun Li
Jiebo Luo
Bo Luo
35
1
0
22 Apr 2024
FakeBench: Uncover the Achilles' Heels of Fake Images with Large
  Multimodal Models
FakeBench: Uncover the Achilles' Heels of Fake Images with Large Multimodal Models
Yixuan Li
Xuelin Liu
Xiaoyang Wang
Shiqi Wang
Weisi Lin
41
5
0
20 Apr 2024
Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images
Robust CLIP-Based Detector for Exposing Diffusion Model-Generated Images
Santosh
Li Lin
Irene Amerini
Xin Wang
Shu Hu
47
11
0
19 Apr 2024
Which Model Generated This Image? A Model-Agnostic Approach for Origin
  Attribution
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution
Fengyuan Liu
Haochen Luo
Yiming Li
Philip H. S. Torr
Jindong Gu
VLM
26
5
0
03 Apr 2024
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
Mamadou Keita
W. Hamidouche
Hessen Bougueffa Eutamene
Abdenour Hadid
Abdelmalik Taleb-Ahmed
66
7
0
02 Apr 2024
Artifact Feature Purification for Cross-domain Detection of AI-generated
  Images
Artifact Feature Purification for Cross-domain Detection of AI-generated Images
Zheling Meng
Bo Peng
Jing Dong
Tieniu Tan
89
2
0
17 Mar 2024
Premonition: Using Generative Models to Preempt Future Data Changes in
  Continual Learning
Premonition: Using Generative Models to Preempt Future Data Changes in Continual Learning
Mark D Mcdonnell
Dong Gong
Ehsan Abbasnejad
Anton Van Den Hengel
VLM
DiffM
83
3
0
12 Mar 2024
Regeneration Based Training-free Attribution of Fake Images Generated by
  Text-to-Image Generative Models
Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
Meiling Li
Zhenxing Qian
Xinpeng Zhang
39
2
0
03 Mar 2024
Organic or Diffused: Can We Distinguish Human Art from AI-generated
  Images?
Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
Anna Yoo Jeong Ha
Josephine Passananti
Ronik Bhaskar
Shawn Shan
Reid Southen
Haitao Zheng
Ben Y. Zhao
AAML
21
22
0
05 Feb 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
27
31
0
31 Jan 2024
Detecting Multimedia Generated by Large AI Models: A Survey
Detecting Multimedia Generated by Large AI Models: A Survey
Li Lin
Neeraj Gupta
Yue Zhang
Hainan Ren
Chun-Hao Liu
Feng Ding
Xin Wang
Xin Li
Luisa Verdoliva
Shu Hu
86
57
0
22 Jan 2024
GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in
  the Era of Artificial Illusions
GenAI Mirage: The Impostor Bias and the Deepfake Detection Challenge in the Era of Artificial Illusions
Mirko Casu
Luca Guarnera
P. Caponnetto
Sebastiano Battiato
40
14
0
24 Dec 2023
Synthetic images aid the recognition of human-made art forgeries
Synthetic images aid the recognition of human-made art forgeries
Johann Ostmeyer
Ludovica Schaerf
Pavel Buividovich
Tessa Charles
Eric Postma
Carina Popovici
19
4
0
22 Dec 2023
Tracing Hyperparameter Dependencies for Model Parsing via Learnable
  Graph Pooling Network
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network
Xiao Guo
Vishal Asnani
Sijia Liu
Xiaoming Liu
27
5
0
03 Dec 2023
Raising the Bar of AI-generated Image Detection with CLIP
Raising the Bar of AI-generated Image Detection with CLIP
D. Cozzolino
Giovanni Poggi
Riccardo Corvi
Matthias Nießner
L. Verdoliva
VLM
29
74
0
30 Nov 2023
Online Detection of AI-Generated Images
Online Detection of AI-Generated Images
David C. Epstein
Ishan Jain
Oliver Wang
Richard Y. Zhang
32
53
0
23 Oct 2023
Security and Privacy on Generative Data in AIGC: A Survey
Security and Privacy on Generative Data in AIGC: A Survey
Tao Wang
Yushu Zhang
Shuren Qi
Ruoyu Zhao
Zhihua Xia
Jian Weng
59
44
0
18 Sep 2023
Identifying and Mitigating the Security Risks of Generative AI
Identifying and Mitigating the Security Risks of Generative AI
Clark W. Barrett
Bradley L Boyd
Ellie Burzstein
Nicholas Carlini
Brad Chen
...
Zulfikar Ramzan
Khawaja Shams
D. Song
Ankur Taly
Diyi Yang
SILM
37
92
0
28 Aug 2023
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image
  Generation
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation
Jialu Wang
Xinyue Liu
Zonglin Di
Y. Liu
Xin Eric Wang
26
32
0
01 Jun 2023
CIFAKE: Image Classification and Explainable Identification of
  AI-Generated Synthetic Images
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images
Jordan J. Bird
Ahmad Lotfi
DiffM
17
104
0
24 Mar 2023
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint
  Ensembles
D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
Ashish Hooda
Neal Mangaokar
Ryan Feng
Kassem Fawaz
S. Jha
Atul Prakash
27
11
0
11 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
S. Hoi
MLLM
BDL
VLM
CLIP
392
4,137
0
28 Jan 2022
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
342
1,591
0
10 Nov 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,781
0
24 Feb 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE
Ke Li
Tianhao Zhang
Jitendra Malik
DiffM
170
84
0
29 Nov 2018
Learning to See in the Dark
Learning to See in the Dark
Cheng Chen
Qifeng Chen
Jia Xu
V. Koltun
190
1,165
0
04 May 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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