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Open Set Synthetic Image Source Attribution

Open Set Synthetic Image Source Attribution

22 August 2023
Shengbang Fang
Tai D. Nguyen
Matthew C. Stamm
ArXivPDFHTML

Papers citing "Open Set Synthetic Image Source Attribution"

9 / 9 papers shown
Title
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
TrueFake: A Real World Case Dataset of Last Generation Fake Images also Shared on Social Networks
S. Dell’Anna
Andrea Montibeller
Giulia Boato
62
0
0
29 Apr 2025
Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images
Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images
Tai D. Nguyen
Aref Azizpour
Matthew C. Stamm
46
1
0
26 Mar 2025
BOSC: A Backdoor-based Framework for Open Set Synthetic Image
  Attribution
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution
Jun Wang
B. Tondi
Mauro Barni
DiffM
41
1
0
19 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
50
8
0
30 Apr 2024
Beyond Deepfake Images: Detecting AI-Generated Videos
Beyond Deepfake Images: Detecting AI-Generated Videos
Danial Samadi Vahdati
Tai D. Nguyen
Aref Azizpour
Matthew C. Stamm
63
11
0
24 Apr 2024
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors
  to New Generators Using Limited Data
E3: Ensemble of Expert Embedders for Adapting Synthetic Image Detectors to New Generators Using Limited Data
Aref Azizpour
Tai D. Nguyen
Manil Shrestha
Kaidi Xu
Edward Kim
Matthew C. Stamm
37
4
0
12 Apr 2024
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
Guosheng Lin
MLLM
BDL
VLM
CLIP
392
4,154
0
28 Jan 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
297
10,368
0
12 Dec 2018
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,376
0
07 Oct 2016
1