Cover Image

IPFed: Identity protected federated learning for user authentication

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kaga, Yosuke, Suzuki, Yusei, Takahashi, Kenta
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Shadow defense against gradient inversion attack in federated learning
by: Jiang, Le, et al.
Published: (2025)

Identity-Focused Inference and Extraction Attacks on Diffusion Models
by: Vora, Jayneel, et al.
Published: (2024)

Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
by: Zalameda, Joseph G., et al.
Published: (2026)

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

LiDAR Spoofing Meets the New-Gen: Capability Improvements, Broken Assumptions, and New Attack Strategies
by: Sato, Takami, et al.
Published: (2023)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
by: Tobaben, Marlon, et al.
Published: (2024)

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

Adversarial Example Generation using Evolutionary Multi-objective Optimization
by: Suzuki, Takahiro, et al.
Published: (2019)

PrivFedTalk: Privacy-Aware Federated Diffusion with Identity-Stable Adapters for Personalized Talking-Head Generation
by: Mazumdar, Soumya, et al.
Published: (2026)

Vulnerability analysis of captcha using Deep learning
by: Walia, Jaskaran Singh, et al.
Published: (2023)

Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024)

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

Omni-IML: Towards Unified Image Manipulation Localization
by: Qu, Chenfan, et al.
Published: (2024)

SnatchML: Hijacking ML models without Training Access
by: Ghorbel, Mahmoud, et al.
Published: (2024)

Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
by: Shahriar, Md Hasan, et al.
Published: (2024)

SIDE: Surrogate Conditional Data Extraction from Diffusion Models
by: Chen, Yunhao, et al.
Published: (2024)

Privacy-Preserving Video Anomaly Detection: A Survey
by: Liu, Yang, et al.
Published: (2024)

FedAli: Personalized Federated Learning Alignment with Prototype Layers for Generalized Mobile Services
by: Ek, Sannara, et al.
Published: (2024)

MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
by: Amini, Sajjad, et al.
Published: (2024)

Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization
by: Jung, Yoonhwa, et al.
Published: (2024)

Towards Accurate and Robust Architectures via Neural Architecture Search
by: Ou, Yuwei, et al.
Published: (2024)

Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT
by: Khatun, Mirza Akhi, et al.
Published: (2024)

1-D CNN-Based Online Signature Verification with Federated Learning
by: Zhang, Lingfeng, et al.
Published: (2024)

Position Paper: Think Globally, React Locally -- Bringing Real-time Reference-based Website Phishing Detection on macOS
by: Petrukha, Ivan, et al.
Published: (2024)

One-Index Vector Quantization Based Adversarial Attack on Image Classification
by: Fan, Haiju, et al.
Published: (2024)

Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
by: Liu, Yaohua, et al.
Published: (2024)

FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space
by: Guo, Yiyang, et al.
Published: (2024)

Generating Potent Poisons and Backdoors from Scratch with Guided Diffusion
by: Souri, Hossein, et al.
Published: (2024)

PADetBench: Towards Benchmarking Physical Attacks against Object Detection
by: Lian, Jiawei, et al.
Published: (2024)

Delta-Influence: Unlearning Poisons via Influence Functions
by: Li, Wenjie, et al.
Published: (2024)

Random Erasing vs. Model Inversion: A Promising Defense or a False Hope?
by: Tran, Viet-Hung, et al.
Published: (2024)

Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
by: Li, Wenda, et al.
Published: (2024)

Revealing Vulnerabilities of Neural Networks in Parameter Learning and Defense Against Explanation-Aware Backdoors
by: Kadir, Md Abdul, et al.
Published: (2024)

Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
by: Keita, Mamadou, et al.
Published: (2024)

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

LSP Framework: A Compensatory Model for Defeating Trigger Reverse Engineering via Label Smoothing Poisoning
by: Li, Beichen, et al.
Published: (2024)

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

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

WAVES: Benchmarking the Robustness of Image Watermarks
by: An, Bang, et al.
Published: (2024)

DataFreeShield: Defending Adversarial Attacks without Training Data
by: Lee, Hyeyoon, et al.
Published: (2024)