Cover Image

VFLGAN-TS: Vertical Federated Learning-based Generative Adversarial Networks for Publication of Vertically Partitioned Time-Series Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Xun, Zhao, Zilong, Gope, Prosanta, Sikdar, Biplab
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
by: Yuan, Xun, et al.
Published: (2024)

Towards Irreversible Machine Unlearning for Diffusion Models
by: Yuan, Xun, et al.
Published: (2025)

A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
by: Yuan, Xun, et al.
Published: (2023)

Baiting AI: Deceptive Adversary Against AI-Protected Industrial Infrastructures
by: Pasikhani, Aryan, et al.
Published: (2026)

Privacy-preserving Robotic-based Multi-factor Authentication Scheme for Secure Automated Delivery System
by: Yang, Yang, et al.
Published: (2024)

Leveraging A New GAN-based Transformer with ECDH Crypto-system for Enhancing Energy Theft Detection in Smart Grid
by: Yang, Yang, et al.
Published: (2024)

Unified Framework for Qualifying Security Boundary of PUFs Against Machine Learning Attacks
by: Fei, Hongming, et al.
Published: (2026)

Quantifying Memory Cells Vulnerability for DRAM Security
by: Hu, Zilong, et al.
Published: (2026)

Attacking Delay-based PUFs with Minimal Adversary Model
by: Fei, Hongming, et al.
Published: (2024)

PhenoAuth: A Novel PUF-Phenotype-based Authentication Protocol for IoT Devices
by: Fei, Hongming, et al.
Published: (2024)

UniHand: Privacy-preserving Universal Handover for Small-Cell Networks in 5G-enabled Mobile Communication with KCI Resilience
by: Alnashwan, Rabiah, et al.
Published: (2024)

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems
by: Pang, Qi, et al.
Published: (2022)

URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
by: Yao, Duanyi, et al.
Published: (2024)

Leveraging Vertical Public-Private Split for Improved Synthetic Data Generation
by: Maddock, Samuel, et al.
Published: (2025)

Secure Vertical Federated Learning Under Unreliable Connectivity
by: Qiu, Xinchi, et al.
Published: (2023)

Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
by: Yao, Duanyi, et al.
Published: (2024)

HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning
by: Qiu, Pengyu, et al.
Published: (2022)

UIFV: Data Reconstruction Attack in Vertical Federated Learning
by: Yang, Jirui, et al.
Published: (2024)

Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)

Quantum-Secure Certificate-Less Conditional Privacy-Preserving Authentication for VANET
by: Verma, Girraj Kumar, et al.
Published: (2024)

LiteAtt: A Peer-to-Peer Self-Attestation Framework and Handshake Protocol for Connected IoT Devices
by: Kohli, Varun, et al.
Published: (2026)

Backdoor Attack on Vertical Federated Graph Neural Network Learning
by: Yang, Jirui, et al.
Published: (2024)

PackVFL: Efficient HE Packing for Vertical Federated Learning
by: Yang, Liu, et al.
Published: (2024)

Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
by: Ye, Mang, et al.
Published: (2024)

Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
by: Iqbal, Asif, et al.
Published: (2024)

Drawing the LINE: Cryptographic Analysis and Security Improvements for the LINE E2EE Protocol
by: Dowling, Benjamin, et al.
Published: (2026)

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
by: Xie, Chulin, et al.
Published: (2022)

Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
by: Wu, Zhaomin, et al.
Published: (2024)

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
by: Han, Yuning, et al.
Published: (2024)

Hijack Vertical Federated Learning Models As One Party
by: Qiu, Pengyu, et al.
Published: (2022)

Revisiting Label Inference Attacks in Vertical Federated Learning: Why They Are Vulnerable and How to Defend
by: Liu, Yige, et al.
Published: (2026)

Is the Trigger Essential? A Feature-Based Triggerless Backdoor Attack in Vertical Federated Learning
by: Liu, Yige, et al.
Published: (2026)

KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
by: Arazzi, Marco, et al.
Published: (2024)

Strong Privacy-Preserving Universally Composable AKA Protocol with Seamless Handover Support for Mobile Virtual Network Operator
by: Alnashwan, Rabiah, et al.
Published: (2024)

Secure Inference for Vertically Partitioned Data Using Multiparty Homomorphic Encryption
by: Chen, Shuangyi, et al.
Published: (2024)

Tackling Data Heterogeneity in Federated Time Series Forecasting
by: Yuan, Wei, et al.
Published: (2024)

Accelerating Vertical Federated Learning
by: Cai, Dongqi, et al.
Published: (2022)

LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation
by: He, Ying, et al.
Published: (2024)

A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example
by: Wang, Huan-Chih, et al.
Published: (2024)

Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
by: Jiang, Yu, et al.
Published: (2025)