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Found 3 papers, 1 papers with code
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
Most of those DL models are proprietary to the companies who thus strive to keep their private models safe from the model extraction attack (MEA), whose aim is to steal the model by training surrogate models.
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
However, recent research proposed poisoning attacks that cause a catastrophic loss in the accuracy of the global model when adversaries, posed as benign clients, are present in a group of clients.
LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems
In computer security, designing a robust intrusion detection system is one of the most fundamental and important problems.
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