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Exploring the Efficacy of Learning Techniques in Model Extraction Attacks on Image Classifiers: A Comparative Study

In the rapidly evolving landscape of cybersecurity, model extraction attacks pose a significant challenge, undermining the integrity of machine learning models by enabling adversaries to replicate proprietary algorithms without direct access. This paper presents a comprehensive study on model extrac...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Dong Han, Reza Babaei, Shangqing Zhao, Samuel Cheng
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-04-01
Schriftenreihe:Applied Sciences
Schlagworte:
synthetic data
security
active learning
reinforcement learning
model extraction attack
image classification
Online-Zugang:https://www.mdpi.com/2076-3417/14/9/3785
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