A Secure federated learning framework based on autoencoder and Long Short-Term Memory with generalized robust loss function for detection and prevention of …
P Singh - Biomedical Signal Processing and Control, 2025 - Elsevier
In this research, a federated learning-based poisoning attack recognition and prevention
framework has been developed. Initially, the required data to perform data poison attack …
framework has been developed. Initially, the required data to perform data poison attack …
Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning
O Mengara - arXiv preprint arXiv:2412.17908, 2024 - arxiv.org
With the rapid development of generative artificial intelligence, particularly large language
models, a number of sub-fields of deep learning have made significant progress and are …
models, a number of sub-fields of deep learning have made significant progress and are …
Model Poisoning Detection via Forensic Analysis
GF Monkam, ND Bastian - MILCOM 2024-2024 IEEE Military …, 2024 - ieeexplore.ieee.org
In today's modern battlefield, where drones, missiles, and other autonomous systems are
beginning to rely on machine learning (ML) models, the importance of detecting and …
beginning to rely on machine learning (ML) models, the importance of detecting and …