Cover Image

FRIDAY: Mitigating Unintentional Facial Identity in Deepfake Detectors Guided by Facial Recognizers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Younhun, Kwon, Myung-Joon, Lee, Wonjun, Kim, Changick
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection
by: Kim, Younghun, et al.
Published: (2025)

Arc2Morph: Identity-Preserving Facial Morphing with Arc2Face
by: Di Domenico, Nicolò, et al.
Published: (2026)

Doubly-Universal Adversarial Perturbations: Deceiving Vision-Language Models Across Both Images and Text with a Single Perturbation
by: Kim, Hee-Seon, et al.
Published: (2024)

Facial Recognition Leveraging Generative Adversarial Networks
by: Li, Zhongwen, et al.
Published: (2025)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)

How Generalizable are Deepfake Image Detectors? An Empirical Study
by: Li, Boquan, et al.
Published: (2023)

CamPro: Camera-based Anti-Facial Recognition
by: Zhu, Wenjun, et al.
Published: (2023)

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

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework
by: Le, Binh M., et al.
Published: (2024)

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
by: Wang, Shiming, et al.
Published: (2024)

PuFace: Defending against Facial Cloaking Attacks for Facial Recognition Models
by: Wen, Jing
Published: (2024)

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
by: Liu, Jiang, et al.
Published: (2023)

FaceSwapGuard: Safeguarding Facial Privacy from DeepFake Threats through Identity Obfuscation
by: Wang, Li, et al.
Published: (2025)

Differential Anomaly Detection for Facial Images
by: Ibsen, Mathias, et al.
Published: (2021)

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy
by: Fan, Wenshu, et al.
Published: (2025)

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach
by: Lan, Shulin, et al.
Published: (2024)

EO-VLM: VLM-Guided Energy Overload Attacks on Vision Models
by: Seo, Minjae, et al.
Published: (2025)

Naïve Exposure of Generative AI Capabilities Undermines Deepfake Detection
by: Kim, Sunpill, et al.
Published: (2026)

DistilDIRE: A Small, Fast, Cheap and Lightweight Diffusion Synthesized Deepfake Detection
by: Lim, Yewon, et al.
Published: (2024)

Controllable Adversarial Makeup for Privacy via Text-Guided Diffusion
by: Kwon, Youngjin, et al.
Published: (2025)

XNN: Paradigm Shift in Mitigating Identity Leakage within Cloud-Enabled Deep Learning
by: Liu, Kaixin, et al.
Published: (2024)

Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples
by: Tsigos, Konstantinos, et al.
Published: (2025)

Mitigating Backdoor Attacks using Activation-Guided Model Editing
by: Hsieh, Felix, et al.
Published: (2024)

DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
by: Zhao, Kangran, et al.
Published: (2025)

Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
by: Ünal, Ali Burak, et al.
Published: (2025)

SAFIRE: Segment Any Forged Image Region
by: Kwon, Myung-Joon, et al.
Published: (2024)

CipherFace: A Fully Homomorphic Encryption-Driven Framework for Secure Cloud-Based Facial Recognition
by: Serengil, Sefik, et al.
Published: (2025)

Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces
by: Hu, Juan, et al.
Published: (2024)

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
by: Nguyen-Le, Hong-Hanh, et al.
Published: (2024)

Deepfake detection in videos with multiple faces using geometric-fakeness features
by: Vyshegorodtsev, Kirill, et al.
Published: (2024)

Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation
by: Zhou, Yuxuan, et al.
Published: (2025)

Addressing Deepfake Issue in Selfie banking through camera based authentication
by: Mukherjee, Subhrojyoti, et al.
Published: (2025)

Reduced Spatial Dependency for More General Video-level Deepfake Detection
by: Chu, Beilin, et al.
Published: (2025)

DeiTFake: Deepfake Detection Model using DeiT Multi-Stage Training
by: Kumar, Saksham, et al.
Published: (2025)

Multi-View Slot Attention Using Paraphrased Texts for Face Anti-Spoofing
by: Yu, Jeongmin, et al.
Published: (2025)

Solutions to Deepfakes: Can Camera Hardware, Cryptography, and Deep Learning Verify Real Images?
by: Vilesov, Alexander, et al.
Published: (2024)

Deepfake detectors are DUMB: A benchmark to assess adversarial training robustness under transferability constraints
by: Serrano, Adrian, et al.
Published: (2026)

Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
by: Lorenz, Peter, et al.
Published: (2024)

Blind-Match: Efficient Homomorphic Encryption-Based 1:N Matching for Privacy-Preserving Biometric Identification
by: Choi, Hyunmin, et al.
Published: (2024)

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
by: Yook, Hyun Jun, et al.
Published: (2025)