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A Bias-Free Training Paradigm for More General AI-generated Image Detection
v1v2 (latest)

A Bias-Free Training Paradigm for More General AI-generated Image Detection

Computer Vision and Pattern Recognition (CVPR), 2024
23 December 2024
Fabrizio Guillaro
Giada Zingarini
Ben Usman
Avneesh Sud
D. Cozzolino
L. Verdoliva
    DiffM
ArXiv (abs)PDFHTML

Papers citing "A Bias-Free Training Paradigm for More General AI-generated Image Detection"

50 / 55 papers shown
Title
Generalized Design Choices for Deepfake Detectors
Generalized Design Choices for Deepfake Detectors
Lorenzo Pellegrini
Serafino Pandolfini
Davide Maltoni
Matteo Ferrara
Marco Prati
Marco Ramilli
136
0
0
26 Nov 2025
PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images
PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images
Simon Damm
Jonas Ricker
Henning Petzka
Asja Fischer
141
0
0
25 Nov 2025
DinoLizer: Learning from the Best for Generative Inpainting Localization
DinoLizer: Learning from the Best for Generative Inpainting Localization
Minh Thong Doi
Jan Butora
V. Itier
Jérémie Boulanger
Patrick Bas
DiffM
207
0
0
25 Nov 2025
How Noise Benefits AI-generated Image Detection
Jiazhen Yan
Ziqiang Li
Fan Wang
Kai Zeng
Zhangjie Fu
AAML
128
0
0
20 Nov 2025
DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection
Jiazhen Yan
Ziqiang Li
Fan Wang
Boyu Wang
Zhangjie Fu
144
0
0
17 Nov 2025
Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
Farjana Yesmin
73
0
0
17 Oct 2025
Monte Carlo-Type Neural Operator for Differential Equations
Monte Carlo-Type Neural Operator for Differential Equations
Salah Eddine Choutri
Prajwal Chauhan
Othmane Mazhar
Saif Eddin Jabari
95
0
0
07 Oct 2025
GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection
GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection
Haozhen Yan
Yan Hong
Suning Lang
Jiahui Zhan
Yikun Ji
yujie Gao
Jun Lan
H. Zhu
Weiqiang Wang
Jianfu Zhang
92
1
0
12 Sep 2025
Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection
Shibo Yao
Renshuai Tao
Xiaolong Zheng
Chao Liang
Chunjie Zhang
142
0
0
13 Aug 2025
NS-Net: Decoupling CLIP Semantic Information through NULL-Space for Generalizable AI-Generated Image Detection
NS-Net: Decoupling CLIP Semantic Information through NULL-Space for Generalizable AI-Generated Image Detection
Jiazhen Yan
Fan Wang
Weiwei Jiang
Ziqiang Li
Zhangjie Fu
DiffM
156
4
0
02 Aug 2025
Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation
Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation
Riccardo Corvi
D. Cozzolino
Ekta Prashnani
Shalini De Mello
Koki Nagano
L. Verdoliva
ViT
284
1
0
20 Jun 2025
Advance Fake Video Detection via Vision Transformers
Advance Fake Video Detection via Vision TransformersInformation Hiding and Multimedia Security Workshop (IH&MMSec), 2025
Joy Battocchio
S. Dell’Anna
Andrea Montibeller
Giulia Boato
ViTVGen
211
1
0
29 Apr 2025
Revealing the Implicit Noise-based Imprint of Generative Models
Revealing the Implicit Noise-based Imprint of Generative Models
Xinghan Li
Yue Yu
Yue Yu
Haijun Shan
Haijun Shan
219
1
0
12 Mar 2025
Community Forensics: Using Thousands of Generators to Train Fake Image Detectors
Community Forensics: Using Thousands of Generators to Train Fake Image DetectorsComputer Vision and Pattern Recognition (CVPR), 2024
Jeongsoo Park
Andrew Owens
320
17
0
06 Nov 2024
Randomized Autoregressive Visual Generation
Randomized Autoregressive Visual Generation
Qihang Yu
Ju He
XueQing Deng
Xiaohui Shen
Liang-Chieh Chen
VGenDiffM
286
80
1
01 Nov 2024
Evolution of Detection Performance throughout the Online Lifespan of
  Synthetic Images
Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images
Dimitrios Karageorgiou
Quentin Bammey
Valentin Porcellini
Bertrand Goupil
Denis Teyssou
Symeon Papadopoulos
212
5
0
21 Aug 2024
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance
  Generalization in Deepfake Detection
C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024
Chuangchuang Tan
Renshuai Tao
Huan Liu
Guanghua Gu
Baoyuan Wu
Yao Zhao
Yunchao Wei
VLM
228
50
0
19 Aug 2024
Contrasting Deepfakes Diffusion via Contrastive Learning and
  Global-Local Similarities
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local SimilaritiesEuropean Conference on Computer Vision (ECCV), 2024
Lorenzo Baraldi
Federico Cocchi
Marcella Cornia
Lorenzo Baraldi
Alessandro Nicolosi
Rita Cucchiara
210
28
0
29 Jul 2024
When Synthetic Traces Hide Real Content: Analysis of Stable Diffusion
  Image Laundering
When Synthetic Traces Hide Real Content: Analysis of Stable Diffusion Image Laundering
S. Mandelli
Paolo Bestagini
Stefano Tubaro
DiffM
168
11
0
15 Jul 2024
A Sanity Check for AI-generated Image Detection
A Sanity Check for AI-generated Image Detection
Shilin Yan
Ouxiang Li
Jiayin Cai
Y. Hao
Xiaolong Jiang
Feng-Long Xie
Weidi Xie
VLM
456
91
0
27 Jun 2024
Autoregressive Image Generation without Vector Quantization
Autoregressive Image Generation without Vector Quantization
Tianhong Li
Yonglong Tian
He Li
Mingyang Deng
Kaiming He
DiffM
400
438
0
17 Jun 2024
Real-Time Deepfake Detection in the Real-World
Real-Time Deepfake Detection in the Real-World
Bar Cavia
Eliahu Horwitz
Tal Reiss
Yedid Hoshen
244
24
0
13 Jun 2024
FakeInversion: Learning to Detect Images from Unseen Text-to-Image
  Models by Inverting Stable Diffusion
FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion
George Cazenavette
Avneesh Sud
Thomas Leung
Ben Usman
DiffM
204
48
0
12 Jun 2024
Faster Than Lies: Real-time Deepfake Detection using Binary Neural
  Networks
Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks
Lanzino Romeo
Fontana Federico
Diko Anxhelo
Marini Marco Raoul
Cinque Luigi
225
40
0
07 Jun 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
219
10
0
30 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
246
2
0
20 Apr 2024
Fake or JPEG? Revealing Common Biases in Generated Image Detection
  Datasets
Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets
Patrick Grommelt
Louis Weiss
Franz-Josef Pfreundt
J. Keuper
228
32
0
26 Mar 2024
A Decade's Battle on Dataset Bias: Are We There Yet?
A Decade's Battle on Dataset Bias: Are We There Yet?International Conference on Learning Representations (ICLR), 2024
Zhuang Liu
Kaiming He
223
49
0
13 Mar 2024
Leveraging Representations from Intermediate Encoder-blocks for
  Synthetic Image Detection
Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection
C. Koutlis
Symeon Papadopoulos
255
43
0
29 Feb 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 Eric Wang
Xin Li
Luisa Verdoliva
Shu Hu
753
88
0
22 Jan 2024
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image
  Detection
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
Huan Liu
Zichang Tan
Chuangchuang Tan
Yunchao Wei
Yao-Min Zhao
Jingdong Wang
ViT
201
116
0
27 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
267
128
0
30 Nov 2023
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image
  Detectors
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
You-Ming Chang
Chen Yeh
Wei-Chen Chiu
Ning Yu
VPVLMVLM
309
47
0
26 Oct 2023
Vision Transformers Need Registers
Vision Transformers Need RegistersInternational Conference on Learning Representations (ICLR), 2023
Zilong Chen
Maxime Oquab
Julien Mairal
Huaping Liu
ViT
324
579
0
28 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
Basel Alomair
Ankur Taly
Diyi Yang
SILM
293
119
0
28 Aug 2023
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
GenImage: A Million-Scale Benchmark for Detecting AI-Generated ImageNeural Information Processing Systems (NeurIPS), 2023
Mingjian Zhu
Hanting Chen
Qiang Yan
Xu Huang
Guanyu Lin
Wei Li
Zhaopeng Tu
Hailin Hu
Jie Hu
Yunhe Wang
VLM
203
233
0
14 Jun 2023
Art and the science of generative AI: A deeper dive
Art and the science of generative AI: A deeper diveScience (Science), 2023
Ziv Epstein
Aaron Hertzmann
L. Herman
Robert Mahari
M. Frank
...
Jessica Fjeld
Hany Farid
Neil Leach
Alex Pentland
Olga Russakovsky
217
462
0
07 Jun 2023
DINOv2: Learning Robust Visual Features without Supervision
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab
Timothée Darcet
Théo Moutakanni
Huy Q. Vo
Marc Szafraniec
...
Edouard Grave
Julien Mairal
Patrick Labatut
Armand Joulin
Piotr Bojanowski
VLMCLIPSSL
974
5,637
0
14 Apr 2023
Intriguing properties of synthetic images: from generative adversarial
  networks to diffusion models
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
Riccardo Corvi
D. Cozzolino
Giovanni Poggi
Koki Nagano
L. Verdoliva
DiffM
266
137
0
13 Apr 2023
Sigmoid Loss for Language Image Pre-Training
Sigmoid Loss for Language Image Pre-TrainingIEEE International Conference on Computer Vision (ICCV), 2023
Xiaohua Zhai
Basil Mustafa
Alexander Kolesnikov
Lucas Beyer
CLIPVLM
1.1K
2,064
0
27 Mar 2023
DIRE for Diffusion-Generated Image Detection
DIRE for Diffusion-Generated Image DetectionIEEE International Conference on Computer Vision (ICCV), 2023
Zhendong Wang
Jianmin Bao
Wen-gang Zhou
Weilun Wang
Hezhen Hu
Hong Chen
Houqiang Li
173
358
0
16 Mar 2023
Towards Universal Fake Image Detectors that Generalize Across Generative
  Models
Towards Universal Fake Image Detectors that Generalize Across Generative ModelsComputer Vision and Pattern Recognition (CVPR), 2023
Utkarsh Ojha
Yuheng Li
Yong Jae Lee
289
393
0
20 Feb 2023
Diffusion Probabilistic Model Made Slim
Diffusion Probabilistic Model Made SlimComputer Vision and Pattern Recognition (CVPR), 2022
Xingyi Yang
Daquan Zhou
Jiashi Feng
Xinchao Wang
DiffM
267
129
0
27 Nov 2022
On the detection of synthetic images generated by diffusion models
On the detection of synthetic images generated by diffusion modelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Riccardo Corvi
D. Cozzolino
Giada Zingarini
Giovanni Poggi
Koki Nagano
L. Verdoliva
310
304
0
01 Nov 2022
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 ModelsConference on Computer and Communications Security (CCS), 2022
Zeyang Sha
Zheng Li
Ning Yu
Yang Zhang
DiffM
176
191
0
13 Oct 2022
Multimodal Image Synthesis and Editing: The Generative AI Era
Multimodal Image Synthesis and Editing: The Generative AI EraIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Fangneng Zhan
Yingchen Yu
Rongliang Wu
Jiahui Zhang
Shijian Lu
Lingjie Liu
Adam Kortylewski
Christian Theobalt
Eric Xing
EGVM
514
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0
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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-artIEEE International Conference on Multimedia and Expo (ICME), 2021
Diego Gragnaniello
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Francesco Marra
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234
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Learning Transferable Visual Models From Natural Language Supervision
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Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are
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Ricard Durall
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179
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CNN-generated images are surprisingly easy to spot... for now
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