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Size doesn't matter: Just a small number of malicious files can corrupt LLMs of any size
Large language models (LLMs), which power sophisticated AI chatbots, are more vulnerable than previously thought. According to research by Anthropic, the UK AI Security Institute and the Alan Turing ...
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How many malicious docs does it take to poison an LLM? Far fewer than you might think, Anthropic warns
Just 250 corrupted files can make advanced AI models collapse instantly, Anthropic warns Tiny amounts of poisoned data can destabilize even billion-parameter AI systems A simple trigger phrase can ...
Two recent incidents show how cybercriminals are quickly changing their tactics to fool even alert and well-informed people.
Perhaps even more than 'poisoning' this seems like it could be interesting for 'watermarking'. At least as best as I can tell as a legal layman, a number of the AI copyright cases seem to follow the ...
Vulnerabilities include significant shortcomings in the scanning of email attachments for malicious documents, potentially putting millions of users worldwide at risk The study, conducted by SquareX's ...
The vulnerability was used to hit targets in South Korea via a malicious document that exploited the Halloween crowd-crush tragedy in Itaewon. Google is blaming North Korean hackers for exploiting a ...
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