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Researchers demonstrate backdoors in open-source AI models

Researchers have demonstrated a method to embed backdoors into open-source AI models by modifying their weights, a technique they term "abliteration." This process involves a low-cost fine-tuning that removes the model's ability to refuse certain prompts, allowing malicious actors to hide triggers that execute remote payloads. The researchers successfully implemented this on models like Qwen2.5-7B-Instruct, showing how it could exfiltrate sensitive data such as environment variables and SSH keys when integrated into coding agents like OpenAI's Codex. AI

IMPACT Highlights a significant security risk in open-source AI models, potentially impacting the integrity of AI agents and data security.

RANK_REASON Research paper detailing a new security vulnerability in open-source AI models.

Read on Lobsters — AI tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Researchers demonstrate backdoors in open-source AI models

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Signal score
0 / 100
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Newsworthiness bucket
Research
Research paper detailing a new security vulnerability in open-source AI models.
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2 independent sources
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Topics
safety, product
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
21 days old
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Full methodology in our editorial standards.

COVERAGE [2]

  1. Lobsters — AI tag TIER_1 English(EN) · projectdiscovery.io via ache ·

    How abliterated models can get you pwned

    <p><a href="https://lobste.rs/s/wfdhqr/how_abliterated_models_can_get_you_pwned">Comments</a></p>

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    “bonsoir, Elliot”: How abliterated models can get you pwned Article URL: https:// projectdiscovery.io/research/h ow-abliterated-models-can-get-you-pwned Comment

    “bonsoir, Elliot”: How abliterated models can get you pwned Article URL: https:// projectdiscovery.io/research/h ow-abliterated-models-can-get-you-pwned Comments URL: https:// news.ycombinator.com/item?id=5 0159245 Points: 4 # Comments: 0 https:// projectdiscovery.io/research/h o…