Cover Image

FedAT: Federated Adversarial Training for Distributed Insider Threat Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gayathri, R G, Sajjanhar, Atul, Uddin, Md Palash, Xiang, Yong
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Behavioral Analytics for Continuous Insider Threat Detection in Zero-Trust Architectures
by: Sarraf, Gaurav
Published: (2026)

FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
by: Mia, Md Jueal, et al.
Published: (2025)

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
by: Dao, Thinh, et al.
Published: (2025)

Adversarial Analysis of the Differentially-Private Federated Learning in Cyber-Physical Critical Infrastructures
by: Hossain, Md Tamjid, et al.
Published: (2022)

DarkFed: A Data-Free Backdoor Attack in Federated Learning
by: Li, Minghui, et al.
Published: (2024)

Byzantine-Robust Federated Learning Using Generative Adversarial Networks
by: Zafar, Usama, et al.
Published: (2025)

Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics
by: Geng, Jiaxiang, et al.
Published: (2024)

FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
by: Jiang, Haocheng, et al.
Published: (2025)

QuanCrypt-FL: Quantized Homomorphic Encryption with Pruning for Secure Federated Learning
by: Mia, Md Jueal, et al.
Published: (2024)

FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix
by: Wu, Di, et al.
Published: (2025)

A Hierarchical Security Events Correlation Model for Real-time Cyber Threat Detection and Response
by: Maosa, Herbert, et al.
Published: (2023)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)

SHEATH: Defending Horizontal Collaboration for Distributed CNNs against Adversarial Noise
by: Asif, Muneeba, et al.
Published: (2024)

Federated Spatiotemporal Graph Learning for Passive Attack Detection in Smart Grids
by: Agha, Bochra Al, et al.
Published: (2025)

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
by: Zhao, Zhihui, et al.
Published: (2025)

FedCert: Federated Accuracy Certification
by: Nguyen, Minh Hieu, et al.
Published: (2024)

Analyzing the Attack Surface and Threats of Industrial Internet of Things Devices
by: Liebl, Simon, et al.
Published: (2024)

Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training
by: Lee, Jonghyun, et al.
Published: (2025)

BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains
by: Bendada, Ahmed Mounsf Rafik, et al.
Published: (2025)

Security Vulnerabilities in Quantum Cloud Systems: A Survey on Emerging Threats
by: Coupel, Justin, et al.
Published: (2025)

When Quantum Federated Learning Meets Blockchain in 6G Networks
by: Nguyen, Dinh C., et al.
Published: (2025)

OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
by: Tyagi, Sahil, et al.
Published: (2025)

FedTrident: Resilient Road Condition Classification Against Poisoning Attacks in Federated Learning
by: Liu, Sheng, et al.
Published: (2026)

Distributed Temporal Graph Learning with Provenance for APT Detection in Supply Chains
by: Tan, Zhuoran, et al.
Published: (2025)

FedRKG: A Privacy-preserving Federated Recommendation Framework via Knowledge Graph Enhancement
by: Yao, Dezhong, et al.
Published: (2024)

Federated Cyber Defense: Privacy-Preserving Ransomware Detection Across Distributed Systems
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)

Secure and Privacy-Preserving Vertical Federated Learning
by: Jin, Shan, et al.
Published: (2026)

Trustworthy Federated Learning: Privacy, Security, and Beyond
by: Chen, Chunlu, et al.
Published: (2024)

Celtibero: Robust Layered Aggregation for Federated Learning
by: Molina-Coronado, Borja
Published: (2024)

Distributed Log-driven Anomaly Detection System based on Evolving Decision Making
by: Tan, Zhuoran, et al.
Published: (2025)

Securing AI Agents in Cyber-Physical Systems: A Survey of Environmental Interactions, Deepfake Threats, and Defenses
by: Hatami, Mohsen, et al.
Published: (2026)

An Adaptive Differential Privacy Method Based on Federated Learning
by: Wang, Zhiqiang, et al.
Published: (2024)

Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
by: Husnoo, Muhammad Akbar, et al.
Published: (2024)

Consensus Under Adversary Majority Done Right
by: Sridhar, Srivatsan, et al.
Published: (2024)

Optimizing Malware Detection in IoT Networks: Leveraging Resource-Aware Distributed Computing for Enhanced Security
by: Kasarapu, Sreenitha, et al.
Published: (2024)

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
by: Li, Zhiqiang, et al.
Published: (2025)

GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
by: Gan, Xiaoyun, et al.
Published: (2024)

Analyzing Performance Bottlenecks in Zero-Knowledge Proof Based Rollups on Ethereum
by: Habib, Md. Ahsan
Published: (2025)

FedBaF: Federated Learning Aggregation Biased by a Foundation Model
by: Park, Jong-Ik, et al.
Published: (2024)

SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning
by: Li, Borui, et al.
Published: (2025)