---
title: "Examining Malicious Hugging Face ML Models with Silent Backdoor"
url: https://daily.dev/posts/examining-malicious-hugging-face-ml-models-with-silent-backdoor-6pwmzlxsz
source_url: https://jfrog.com/blog/data-scientists-targeted-by-malicious-hugging-face-ml-models-with-silent-backdoor/
type: article
source: "JFrog"
published: 2024-02-27T13:32:54.704Z
updated: 2024-05-09T09:21:59.549Z
tags: ["security", "ai", "machine-learning", "jfrog"]
reading_time: 10
upvotes: 0
comments: 0
language: en
---

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# Examining Malicious Hugging Face ML Models with Silent Backdoor

**[JFrog](https://daily.dev/sources/jfrog)** · 10 min read · 0 upvotes · 0 comments

## Summary

The post discusses the security risks posed by malicious ML models on the Hugging Face platform, highlighting the potential for code execution and backdoor infiltration. It also examines the security measures implemented by Hugging Face and the efforts of researchers to address emerging threats. The use of a HoneyPot to monitor attackers' activities is discussed as well.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://jfrog.com/blog/data-scientists-targeted-by-malicious-hugging-face-ml-models-with-silent-backdoor/>

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---

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

[View this post on daily.dev](https://daily.dev/posts/examining-malicious-hugging-face-ml-models-with-silent-backdoor-6pwmzlxsz)