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Home/Authors/Taiping Yao

Taiping Yao

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

21

papers

839

total citations

papers (21)

Face Anti-Spoofing via Disentangled Representation Learning

Exploring Frequency Adversarial Attacks for Face Forgery Detection

Instance-Aware Domain Generalization for Face Anti-Spoofing

Delving into Data: Effectively Substitute Training for Black-box Attack

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

NEURIPS 2022arXiv

Generative Domain Adaptation for Face Anti-Spoofing

Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition

Test-Time Domain Generalization for Face Anti-Spoofing

Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning

Contrastive Pseudo Learning for Open-World DeepFake Attribution

Towards General Visual-Linguistic Face Forgery Detection

Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space

Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation

Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing

Standing on the Shoulders of Giants: Reprogramming Visual-Language Model for General Deepfake Detection

Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models

End-to-End Reconstruction-Classification Learning for Face Forgery Detection

PiD: Generalized AI-Generated Images Detection with Pixelwise Decomposition Residuals

Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing

An Information Theoretic Approach for Attention-Driven Face Forgery Detection

Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection