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Found 4 papers, 1 papers with code
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization
Our novel approach consists of changing the training strategy in the target network classifier and selecting random feature samples.
A Cost-efficient IoT Forensics Framework with Blockchain
IoT devices have been adopted widely in the last decade which enabled collection of various data from different environments.
A Novel Framework for Threat Analysis of Machine Learning-based Smart Healthcare Systems
In this paper, we propose SHChecker, a novel threat analysis framework that integrates machine learning and formal analysis capabilities to identify potential attacks and corresponding effects on an IoMT-based SHS.
Real or Virtual: A Video Conferencing Background Manipulation-Detection System
Additionally, it enables users to employ a virtual background to conceal their own environment due to privacy concerns or to reduce distractions, particularly in professional settings.
