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Attacks on Machine Learning Models Based on the PyTorch Framework.
- Source :
-
Automation & Remote Control . Mar2024, Vol. 85 Issue 3, p263-271. 9p. - Publication Year :
- 2024
-
Abstract
- This research delves into the cybersecurity implications of neural network training in cloud-based services. Despite their recognition for solving IT problems, the resource-intensive nature of neural network training poses challenges, leading to increased reliance on cloud services. However, this dependence introduces new cybersecurity risks. The study focuses on a novel attack method exploiting neural network weights to discreetly distribute hidden malware. It explores seven embedding methods and four trigger types for malware activation. Additionally, the paper introduces an open-source framework automating code injection into neural network weight parameters, allowing researchers to investigate and counteract this emerging attack vector. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00051179
- Volume :
- 85
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Automation & Remote Control
- Publication Type :
- Academic Journal
- Accession number :
- 178855895
- Full Text :
- https://doi.org/10.1134/S0005117924030068