Image de couverture de livre

Inference Attacks Against Face Recognition Model without Classification Layers

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Huang, Yuanqing, Chen, Huilong, Wang, Yinggui, Wang, Lei
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
par: Wang, Yinggui, et autres
Publié: (2024)

Rethinking Impersonation and Dodging Attacks on Face Recognition Systems
par: Zhou, Fengfan, et autres
Publié: (2024)

Transferable Adversarial Examples with Bayes Approach
par: Fan, Mingyuan, et autres
Publié: (2022)

A Survey on Physical Adversarial Attacks against Face Recognition Systems
par: Wang, Mingsi, et autres
Publié: (2024)

LabellessFace: Fair Metric Learning for Face Recognition without Attribute Labels
par: Ohki, Tetsushi, et autres
Publié: (2024)

Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification
par: Tan, Zhaorui, et autres
Publié: (2025)

Towards Robust Content Watermarking Against Removal and Forgery Attacks
par: Zhu, Yifan, et autres
Publié: (2026)

VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition
par: Yeung, Michael, et autres
Publié: (2024)

Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
par: Ren, Min, et autres
Publié: (2024)

Toward Inherently Robust VLMs Against Visual Perception Attacks
par: MohajerAnsari, Pedram, et autres
Publié: (2025)

Hypergraph Laplacian Eigenmaps and Face Recognition Problems
par: Tran, Loc Hoang
Publié: (2024)

S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks
par: S, Neha A, et autres
Publié: (2024)

When Spatial meets Temporal in Action Recognition
par: Chen, Huilin, et autres
Publié: (2024)

Membership Inference Attacks with False Discovery Rate Control
par: Zhao, Chenxu, et autres
Publié: (2025)

Variance-Based Defense Against Blended Backdoor Attacks
par: Aseervatham, Sujeevan, et autres
Publié: (2025)

Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models
par: Zhao, Xinkai, et autres
Publié: (2025)

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
par: Chen, Zhichao, et autres
Publié: (2026)

DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
par: Wang, Hanrui, et autres
Publié: (2025)

Taylor Videos for Action Recognition
par: Wang, Lei, et autres
Publié: (2024)

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
par: Zhou, Andy, et autres
Publié: (2024)

TopoFR: A Closer Look at Topology Alignment on Face Recognition
par: Dan, Jun, et autres
Publié: (2024)

Discovering Intersectional Bias via Directional Alignment in Face Recognition Embeddings
par: Serna, Ignacio
Publié: (2025)

Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models
par: Xu, Haochuan, et autres
Publié: (2025)

A Wireless Collaborated Inference Acceleration Framework for Plant Disease Recognition
par: Zhu, Hele, et autres
Publié: (2025)

SoK: On the Survivability of Backdoor Attacks on Unconstrained Face Recognition Systems
par: Roux, Quentin Le, et autres
Publié: (2025)

Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
par: Blasingame, Zander W., et autres
Publié: (2023)

Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks
par: Haffar, Rami, et autres
Publié: (2023)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
par: Liu, Zhenyu, et autres
Publié: (2024)

DRAG: Data Reconstruction Attack using Guided Diffusion
par: Lei, Wa-Kin, et autres
Publié: (2025)

Familiarity-Based Open-Set Recognition Under Adversarial Attacks
par: Enevoldsen, Philip, et autres
Publié: (2023)

SIG: A Synthetic Identity Generation Pipeline for Generating Evaluation Datasets for Face Recognition
par: Nzalasse, Kassi, et autres
Publié: (2024)

Dual-Model Defense: Safeguarding Diffusion Models from Membership Inference Attacks through Disjoint Data Splitting
par: Tran, Bao Q., et autres
Publié: (2024)

Data-Free Quantization via Mixed-Precision Compensation without Fine-Tuning
par: Chen, Jun, et autres
Publié: (2023)

Beauty and the Beast: Imperceptible Perturbations Against Diffusion-Based Face Swapping via Directional Attribute Editing
par: Huang, Yilong, et autres
Publié: (2026)

Face-to-Face: A Video Dataset for Multi-Person Interaction Modeling
par: Chu, Ernie, et autres
Publié: (2026)

Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation
par: Jiang, Shiyi, et autres
Publié: (2025)

Learning to Stabilize Faces
par: Bednarik, Jan, et autres
Publié: (2024)

Learning an Image Editing Model without Image Editing Pairs
par: Kumari, Nupur, et autres
Publié: (2025)

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
par: Kong, Weizhe, et autres
Publié: (2025)

Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation
par: Wang, Fei, et autres
Publié: (2025)