Imagen de Portada

SemDP: Semantic-level Differential Privacy Protection for Face Datasets

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Xiaoting, Wang, Tao, Ji, Junhao
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Privacy-preserving Preselection for Face Identification Based on Packing
por: Xin, Rundong, et al.
Publicado: (2025)

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

Pura: An Efficient Privacy-Preserving Solution for Face Recognition
por: Xu, Guotao, et al.
Publicado: (2025)

A Deeper Dive into the Irreversibility of PolyProtect: Making Protected Face Templates Harder to Invert
por: Hahn, Vedrana Krivokuća, et al.
Publicado: (2026)

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
por: Yalavarthi, Bharat, et al.
Publicado: (2024)

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

SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models
por: Wang, Mingsi, et al.
Publicado: (2025)

Privacy-Preserving Semantic Segmentation without Key Management
por: Hirose, Mare, et al.
Publicado: (2026)

Secure and Scalable Face Retrieval via Cancelable Product Quantization
por: Tang, Haomiao, et al.
Publicado: (2025)

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

Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
por: Zheng, Junhao, et al.
Publicado: (2025)

A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique
por: Sueyoshi, Homare, et al.
Publicado: (2025)

MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement
por: PN, Aravinda Reddy, et al.
Publicado: (2024)

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

PATE-TripleGAN: Privacy-Preserving Image Synthesis with Gaussian Differential Privacy
por: Jiang, Zepeng, et al.
Publicado: (2024)

PrivHAR-Bench: A Graduated Privacy Benchmark Dataset for Video-Based Action Recognition
por: Ansari, Samar
Publicado: (2026)

CryptoFace: End-to-End Encrypted Face Recognition
por: Ao, Wei, et al.
Publicado: (2025)

Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations
por: Liu, Haitong, et al.
Publicado: (2025)

EdgeFace: Efficient Face Recognition Model for Edge Devices
por: George, Anjith, et al.
Publicado: (2023)

Restoring Gaussian Blurred Face Images for Deanonymization Attacks
por: Zhai, Haoyu, et al.
Publicado: (2025)

Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
por: Wang, Yinggui, et al.
Publicado: (2024)

Anti-Tamper Protection for Unauthorized Individual Image Generation
por: Li, Zelin, et al.
Publicado: (2025)

Face Anonymization Made Simple
por: Kung, Han-Wei, et al.
Publicado: (2024)

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
por: Wang, Hanrui, et al.
Publicado: (2025)

A Key-Driven Framework for Identity-Preserving Face Anonymization
por: Wang, Miaomiao, et al.
Publicado: (2024)

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation
por: Zhong, Zhiyuan, et al.
Publicado: (2025)

Principles of Designing Robust Remote Face Anti-Spoofing Systems
por: Xu, Xiang, et al.
Publicado: (2024)

Review of Demographic Fairness in Face Recognition
por: Kotwal, Ketan, et al.
Publicado: (2025)

Face De-identification: State-of-the-art Methods and Comparative Studies
por: Cao, Jingyi, et al.
Publicado: (2024)

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

Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
por: Piran, Fardin Jalil, et al.
Publicado: (2024)

Lossless Copyright Protection via Intrinsic Model Fingerprinting
por: Chen, Lingxiao, et al.
Publicado: (2026)

UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion
por: Xue, Lulu, et al.
Publicado: (2026)

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

Embedding Non-Distortive Cancelable Face Template Generation
por: Zakharov, Dmytro, et al.
Publicado: (2024)

Securing Face and Fingerprint Templates in Humanitarian Biometric Systems
por: Stragapede, Giuseppe, et al.
Publicado: (2025)

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

Revisiting the Privacy Risks of Split Inference: A GAN-Based Data Reconstruction Attack via Progressive Feature Optimization
por: Qiu, Yixiang, et al.
Publicado: (2025)

Ethical Challenges in Computer Vision: Ensuring Privacy and Mitigating Bias in Publicly Available Datasets
por: Tahir, Ghalib Ahmed
Publicado: (2024)