Imagen de Portada

Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Cui, Xinjie, Li, Yuezun, Zhu, Delong, Zhou, Jiaran, Dong, Junyu, Lyu, Siwei
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
por: Zhu, Delong, et al.
Publicado: (2024)

FastForensics: Efficient Two-Stream Design for Real-Time Image Manipulation Detection
por: Zhang, Yangxiang, et al.
Publicado: (2024)

Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics
por: Li, Yuezun, et al.
Publicado: (2025)

Semantic Contextualization of Face Forgery: A New Definition, Dataset, and Detection Method
por: Zou, Mian, et al.
Publicado: (2024)

ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
por: Lu, Jiucui, et al.
Publicado: (2023)

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted
por: Yuan, Shuaiwei, et al.
Publicado: (2025)

Does CLIP Know My Face?
por: Hintersdorf, Dominik, et al.
Publicado: (2022)

Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
por: Liu, Chi, et al.
Publicado: (2025)

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images
por: Keita, Mamadou, et al.
Publicado: (2025)

Generalizable Face Forgery Detection via Separable Prompt Learning
por: Yang, Enrui, et al.
Publicado: (2026)

DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection
por: Aboutalebi, Hossein, et al.
Publicado: (2023)

ForensicFlow: A Tri-Modal Adaptive Network for Robust Deepfake Detection
por: Romani, Mohammad
Publicado: (2025)

Nearly Solved? Robust Deepfake Detection Requires More than Visual Forensics
por: Levy, Guy, et al.
Publicado: (2024)

Progressive Feedback-Enhanced Transformer for Image Forgery Localization
por: Zhu, Haochen, et al.
Publicado: (2023)

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
por: Deng, Jieren, et al.
Publicado: (2024)

DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
por: Lv, Qingxuan, et al.
Publicado: (2023)

ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training
por: Yao, Xin, et al.
Publicado: (2025)

SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
por: Zhang, Xin, et al.
Publicado: (2026)

VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection
por: Ramachandra, Raghavendra, et al.
Publicado: (2024)

Backdooring CLIP through Concept Confusion
por: Hu, Lijie, et al.
Publicado: (2025)

MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection
por: Liu, Ruiqi, et al.
Publicado: (2026)

Your Text Encoder Can Be An Object-Level Watermarking Controller
por: Devulapally, Naresh Kumar, et al.
Publicado: (2025)

CLIP-Flow: A Universal Discriminator for AI-Generated Images Inspired by Anomaly Detection
por: Yuan, Zhipeng, et al.
Publicado: (2025)

Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
por: Zhang, Lei, et al.
Publicado: (2024)

Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization
por: Lou, Zijie, et al.
Publicado: (2024)

AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
por: Peng, Heqi, et al.
Publicado: (2024)

Universal Anti-forensics Attack against Image Forgery Detection via Multi-modal Guidance
por: Li, Haipeng, et al.
Publicado: (2026)

CLIP-Inspector: Model-Level Backdoor Detection for Prompt-Tuned CLIP via OOD Trigger Inversion
por: Jindal, Akshit, et al.
Publicado: (2026)

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
por: Ju, Yan, et al.
Publicado: (2024)

LoREnc: Low-Rank Encryption for Securing Foundation Models and LoRA Adapters
por: Ahn, Beomjin, et al.
Publicado: (2026)

Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
por: Singh, Naman Deep, et al.
Publicado: (2024)

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection
por: Liang, Mengfei, et al.
Publicado: (2025)

Forensic Video Analytic Software
por: Ratnarajah, Anton Jeran, et al.
Publicado: (2023)

Generalizable Targeted Data Poisoning against Varying Physical Objects
por: Chen, Zhizhen, et al.
Publicado: (2024)

Evidence-based Decision Modeling for Synthetic Face Detection with Uncertainty-driven Active Learning
por: Jiang, Qingchao, et al.
Publicado: (2026)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
por: Wang, Zhenting, et al.
Publicado: (2023)

Backdoor Attacks on Deep Learning Face Detection
por: Roux, Quentin Le, et al.
Publicado: (2025)

MADation: Face Morphing Attack Detection with Foundation Models
por: Caldeira, Eduarda, et al.
Publicado: (2025)

Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks
por: Raj, Ankita, et al.
Publicado: (2025)

Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
por: Blasingame, Zander W., et al.
Publicado: (2023)