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# An overview of machine learning security risks

**[Ubuntu](https://daily.dev/sources/ubuntu)** · 12 min read · 1 upvotes · 0 comments

## Summary

This post provides an overview of machine learning security risks and highlights key threats and challenges. It covers topics such as data security, tools security, ML model security, hardware security, end device security, and the human factor. The post also discusses the top four machine learning security risks: package security vulnerabilities, data poisoning, adversarial attacks, and data privacy. It concludes by providing best practices to improve machine learning security and mentions some open-source AI solutions.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://ubuntu.com/blog/machine-learning-security-risks>

---

Tags: [#security](https://daily.dev/tags/security), [#machine-learning](https://daily.dev/tags/machine-learning), [#data-privacy](https://daily.dev/tags/data-privacy)

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