A Novel Data-Driven Attack Method on Machine Learning Models
With the increasing popularity and usage of artificial intelligence systems, it has become crucial to address their vulnerability to cyber-attacks. In this study, we propose a novel gradient descent-based method to generate fake data that can be accepted as positive by a targeted machine learning mo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Graz University of Technology
2024-03-01
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| Series: | Journal of Universal Computer Science |
| Subjects: | |
| Online Access: | https://lib.jucs.org/article/108445/download/pdf/ |