unica-mlsec/mlsec
PhD/MSc course on Machine Learning Security (Univ. Cagliari)
This course material provides an in-depth understanding of how to secure machine learning systems. It covers threat modeling, various types of attacks like evasion and poisoning, and strategies for defending against them. The content helps students evaluate the robustness of AI models and design more secure ones. This resource is for master's and PhD students in computer engineering, cybersecurity, and artificial intelligence.
225 stars.
Use this if you are a graduate student or researcher looking to deeply understand and implement security measures for machine learning models.
Not ideal if you are looking for a quick introduction to machine learning basics or a tool for immediate, practical model deployment without security considerations.
Stars
225
Forks
26
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 18, 2025
Commits (30d)
0
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