Cover Image

Exploring the Adversarial Robustness of Face Forgery Detection with Decision-based Black-box Attacks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zhaoyu, Li, Bo, Jiang, Kaixun, Wu, Shuang, Ding, Shouhong, Zhang, Wenqiang
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Delving into Decision-based Black-box Attacks on Semantic Segmentation
by: Chen, Zhaoyu, et al.
Published: (2024)

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
by: Jiang, Kaixun, et al.
Published: (2025)

PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving
by: Fu, Jiyuan, et al.
Published: (2024)

VideoPure: Diffusion-based Adversarial Purification for Video Recognition
by: Jiang, Kaixun, et al.
Published: (2025)

Towards General Visual-Linguistic Face Forgery Detection
by: Sun, Ke, et al.
Published: (2023)

Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
by: Liang, Jiawei, et al.
Published: (2024)

Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)

Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
by: Li, Jinglun, et al.
Published: (2025)

Imperceptible Face Forgery Attack via Adversarial Semantic Mask
by: Liu, Decheng, et al.
Published: (2024)

Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts
by: Li, Yang, et al.
Published: (2024)

Trident: Detecting Face Forgeries with Adversarial Triplet Learning
by: Kara, Mustafa Hakan, et al.
Published: (2025)

Boosting Adversarial Transferability with Spatial Adversarial Alignment
by: Chen, Zhaoyu, et al.
Published: (2025)

An Effective Image Copy-Move Forgery Detection Using Entropy Information
by: Jiang, Li, et al.
Published: (2023)

Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection
by: Xie, Caiyun, et al.
Published: (2024)

Learning to Discover Forgery Cues for Face Forgery Detection
by: Tian, Jiahe, et al.
Published: (2024)

Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection
by: Fei, Hongyan, et al.
Published: (2026)

ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack
by: Peng, Rongxuan, et al.
Published: (2025)

Improving Adversarial Transferability with Neighbourhood Gradient Information
by: Guo, Haijing, et al.
Published: (2024)

ForgeryVCR: Visual-Centric Reasoning via Efficient Forensic Tools in MLLMs for Image Forgery Detection and Localization
by: Wang, Youqi, et al.
Published: (2026)

ZQBA: Zero Query Black-box Adversarial Attack
by: Costa, Joana C., et al.
Published: (2025)

Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
by: Chen, Erh-Chung, et al.
Published: (2024)

Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
by: Guo, Zonghui, et al.
Published: (2024)

Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction
by: Fu, Jiyuan, et al.
Published: (2024)

WMamba: Wavelet-based Mamba for Face Forgery Detection
by: Peng, Siran, et al.
Published: (2025)

TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision-Language Representations and Class Center Learning
by: Li, Jinglun, et al.
Published: (2024)

RCDN: Real-Centered Detection Network for Robust Face Forgery Identification
by: McCurdy, Wyatt, et al.
Published: (2026)

Black-box Targeted Adversarial Attack on Segment Anything (SAM)
by: Zheng, Sheng, et al.
Published: (2023)

Agent4FaceForgery: Multi-Agent LLM Framework for Realistic Face Forgery Detection
by: Lai, Yingxin, et al.
Published: (2025)

Contrastive Desensitization Learning for Cross Domain Face Forgery Detection
by: Qiu, Lingyu, et al.
Published: (2025)

Scaling Laws for Black box Adversarial Attacks
by: Liu, Chuan, et al.
Published: (2024)

VLA-Hijack: A Transferable Patch Attack against Vision-Language-Action Models via Visual Proprioception Hijacking
by: Fu, Jiyuan, et al.
Published: (2026)

Shedding Light on VLN Robustness: A Black-box Framework for Indoor Lighting-based Adversarial Attack
by: Li, Chenyang, et al.
Published: (2025)

MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup Transfer
by: Sun, Ming, et al.
Published: (2024)

LiDAttack: Robust Black-box Attack on LiDAR-based Object Detection
by: Chen, Jinyin, et al.
Published: (2024)

LAKAN: Landmark-assisted Adaptive Kolmogorov-Arnold Network for Face Forgery Detection
by: Jiang, Jiayao, et al.
Published: (2025)

Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?
by: Han, Xiaoxuan, et al.
Published: (2023)

Federated Face Forgery Detection Learning with Personalized Representation
by: Liu, Decheng, et al.
Published: (2024)

Dynamic Semantic-Aware Correlation Modeling for UAV Tracking
by: Zhou, Xinyu, et al.
Published: (2025)

Seeing is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding
by: Guo, Pinxue, et al.
Published: (2025)

GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
by: Reza, Md Farhamdur, et al.
Published: (2025)