CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Yuan, Zhipeng, Wang, Kai, Quan, Weize, Yan, Dong-Ming, Wu, Tieru |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
by: Keita, Mamadou, et al.
Published: (2025)
by: Keita, Mamadou, et al.
Published: (2025)
MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection
by: Liu, Ruiqi, et al.
Published: (2026)
by: Liu, Ruiqi, et al.
Published: (2026)
AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
by: Bai, Jianfa, et al.
Published: (2024)
by: Bai, Jianfa, et al.
Published: (2024)
Is Artificial Intelligence Generated Image Detection a Solved Problem?
by: Li, Ziqiang, et al.
Published: (2025)
by: Li, Ziqiang, et al.
Published: (2025)
Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
by: Xu, Kun, et al.
Published: (2025)
by: Xu, Kun, et al.
Published: (2025)
From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
by: Liang, Mengfei, et al.
Published: (2025)
by: Liang, Mengfei, et al.
Published: (2025)
Color Matters: Demosaicing-Guided Color Correlation Training for Generalizable AI-Generated Image Detection
by: Zhong, Nan, et al.
Published: (2026)
by: Zhong, Nan, et al.
Published: (2026)
Differential Anomaly Detection for Facial Images
by: Ibsen, Mathias, et al.
Published: (2021)
by: Ibsen, Mathias, et al.
Published: (2021)
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
by: Wu, Zongyu, et al.
Published: (2025)
by: Wu, Zongyu, et al.
Published: (2025)
Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection
by: Cui, Xinjie, et al.
Published: (2024)
by: Cui, Xinjie, et al.
Published: (2024)
SecureT2I: No More Unauthorized Manipulation on AI Generated Images from Prompts
by: Wu, Xiaodong, et al.
Published: (2025)
by: Wu, Xiaodong, et al.
Published: (2025)
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
by: Diao, Yunfeng, et al.
Published: (2024)
by: Diao, Yunfeng, et al.
Published: (2024)
Backdooring CLIP through Concept Confusion
by: Hu, Lijie, et al.
Published: (2025)
by: Hu, Lijie, et al.
Published: (2025)
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
by: Yao, Xin, et al.
Published: (2025)
by: Yao, Xin, et al.
Published: (2025)
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)
by: Chattopadhyay, Nandish, et al.
Published: (2024)
Generative AI-Based Effective Malware Detection for Embedded Computing Systems
by: Kasarapu, Sreenitha, et al.
Published: (2024)
by: Kasarapu, Sreenitha, et al.
Published: (2024)
Universal Anti-forensics Attack against Image Forgery Detection via Multi-modal Guidance
by: Li, Haipeng, et al.
Published: (2026)
by: Li, Haipeng, et al.
Published: (2026)
LiteUpdate: A Lightweight Framework for Updating AI-Generated Image Detectors
by: Lu, Jiajie, et al.
Published: (2025)
by: Lu, Jiajie, et al.
Published: (2025)
Transferable Dual-Domain Feature Importance Attack against AI-Generated Image Detector
by: Zhu, Weiheng, et al.
Published: (2025)
by: Zhu, Weiheng, et al.
Published: (2025)
Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
by: Liu, Chi, et al.
Published: (2025)
by: Liu, Chi, et al.
Published: (2025)
FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection
by: Zhang, Yangxiang, et al.
Published: (2024)
by: Zhang, Yangxiang, et al.
Published: (2024)
LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains
by: Chivaran, Nicholas, et al.
Published: (2025)
by: Chivaran, Nicholas, et al.
Published: (2025)
Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
by: Liang, Ziyou, et al.
Published: (2024)
by: Liang, Ziyou, et al.
Published: (2024)
Anti-Tamper Protection for Unauthorized Individual Image Generation
by: Li, Zelin, et al.
Published: (2025)
by: Li, Zelin, et al.
Published: (2025)
TarPro: Targeted Protection against Malicious Image Editing
by: Shen, Kaixin, et al.
Published: (2025)
by: Shen, Kaixin, et al.
Published: (2025)
Privacy-Preserving Video Anomaly Detection: A Survey
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Beyond Known Fakes: Generalized Detection of AI-Generated Images via Post-hoc Distribution Alignment
by: Wang, Li, et al.
Published: (2025)
by: Wang, Li, et al.
Published: (2025)
Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack
by: Li, Dongyang, et al.
Published: (2024)
by: Li, Dongyang, et al.
Published: (2024)
AI-generated Image Detection: Passive or Watermark?
by: Guo, Moyang, et al.
Published: (2024)
by: Guo, Moyang, et al.
Published: (2024)
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
by: Fang, Hao, et al.
Published: (2024)
by: Fang, Hao, et al.
Published: (2024)
Improving Image Data Leakage Detection in Automotive Software
by: Babu, Md Abu Ahammed, et al.
Published: (2024)
by: Babu, Md Abu Ahammed, et al.
Published: (2024)
RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
by: Keita, Mamadou, et al.
Published: (2025)
by: Keita, Mamadou, et al.
Published: (2025)
FreqCross: A Multi-Modal Frequency-Spatial Fusion Network for Robust Detection of Stable Diffusion 3.5 Generated Images
by: Yang, Guang
Published: (2025)
by: Yang, Guang
Published: (2025)
WMCopier: Forging Invisible Image Watermarks on Arbitrary Images
by: Dong, Ziping, et al.
Published: (2025)
by: Dong, Ziping, et al.
Published: (2025)
FraudBench: A Multimodal Benchmark for Detecting AI-Generated Fraudulent Refund Evidence
by: Yan, Xinyu, et al.
Published: (2026)
by: Yan, Xinyu, et al.
Published: (2026)
Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey
by: Cao, Jie, et al.
Published: (2025)
by: Cao, Jie, et al.
Published: (2025)
Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
by: Yuan, Shuaiwei, et al.
Published: (2025)
by: Yuan, Shuaiwei, et al.
Published: (2025)
Universally Unfiltered and Unseen:Input-Agnostic Multimodal Jailbreaks against Text-to-Image Model Safeguards
by: Yan, Song, et al.
Published: (2025)
by: Yan, Song, et al.
Published: (2025)
FIDAVL: Fake Image Detection and Attribution using Vision-Language Model
by: Keita, Mamadou, et al.
Published: (2024)
by: Keita, Mamadou, et al.
Published: (2024)
ICAS: Detecting Training Data from Autoregressive Image Generative Models
by: Yu, Hongyao, et al.
Published: (2025)
by: Yu, Hongyao, et al.
Published: (2025)
Similar Items
-
DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
by: Keita, Mamadou, et al.
Published: (2025) -
MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection
by: Liu, Ruiqi, et al.
Published: (2026) -
AI-Generated Video Detection via Spatio-Temporal Anomaly Learning
by: Bai, Jianfa, et al.
Published: (2024) -
Is Artificial Intelligence Generated Image Detection a Solved Problem?
by: Li, Ziqiang, et al.
Published: (2025) -
Detecting Malicious Concepts without Image Generation in AI-Generated Content (AIGC)
by: Xu, Kun, et al.
Published: (2025)