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New 'NightmareOnLLMstreet' attack hides AI exploits in audio

Researchers have demonstrated a novel method for manipulating AI models by embedding hidden instructions within audio files. This technique, dubbed "NightmareOnLLMstreet," allows attackers to trick AI into performing malicious actions such as sending emails with sensitive data or downloading infected files. The potential for such attacks is considered vast, raising significant security concerns for AI systems. AI

IMPACT This research highlights a new attack vector for AI systems, potentially impacting the security and trustworthiness of AI applications.

RANK_REASON The cluster describes a novel research paper detailing a new method for attacking AI models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New 'NightmareOnLLMstreet' attack hides AI exploits in audio

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0 / 100
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Tool
The cluster describes a novel research paper detailing a new method for attacking AI models. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
safety, paper
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AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
112 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Français(FR) · [email protected] ·

    Hacking AIs to make them do what you want (slipping in a booby-trapped link, triggering tools by themselves. Like sending an email with your data, or downloading

    Pirater des ia pour leur faire faire ce qu'on veut (glisser un lien piégé, déclencher des outils tout seul. Genre envoyer un mail avec vos données, ou télécharger un fichier depuis un serveur vérolé) avec des instructions cachées dans du son, genre un musique d'une vidéo, n'impor…