Detecting Black-Box Model Probing Attacks Through Probability Scores

Detecting Black-Box Model Probing Attacks Through Probability Scores

In the black-box model probing attack, the attacker sends a series of model inference requests to a victim model to map out the classification boundary of the model. This attack is considered critical because it helps the attacker gain a better understanding of the model and launch follow-up attacks...

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Bibliographic Details
Main Authors: Yongzhi Wang, Ahsan Habib, Likhitha Reddy Kesara, Brahmarshi Jasti, Renjie Hu, Tejasv Singh
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning security
adversarial machine learning
model probing attacks
black-box attacks
transformer
LSTM
Online Access:https://ieeexplore.ieee.org/document/11029295/
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