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A new technique called LLM salting has been introduced to counteract jailbreak attacks on LLMs such as LLaMA-2-7B and Vicuna-7B. These attacks exploit the reuse of precomputed adversarial prompts across similar model deployments.
With the PDF format being used as a formal means of communication in multiple industries, it has become a good target for criminals who wish to affect contracts or aid in misinformation.
Google DeepMind has unveiled CaMeL (CApabilities for MachinE Learning), a new approach to stopping prompt-injection attacks that abandons the failed strategy of having AI models police themselves.
Researchers from Google Project Zero and Google DeepMind discovered a vulnerability using a large language model (LLM). The vulnerability was found in SQLite, an open-source database engine, and reported to developers before its official release.
Chinese researchers have claimed to successfully break RSA encryption using D-Wave's quantum computing technology, sparking concerns about the security of traditional cryptographic methods.
Birgit Hofer and Thomas Hirsch from TU Graz have developed a new approach to speed up software bug fixes. By identifying bottlenecks in fault localization, they created a scalable solution using NLP and metrics to analyze code for faults.
A bug hunter discovered a bypass in Meta's Prompt-Guard-86M model by inserting character-wise spaces between English alphabet characters, rendering the classifier ineffective in detecting harmful content.
A team of researchers from the University of California San Diego has developed a firmware update to hide a smartphone's unique Bluetooth fingerprint, which can be used to track the user.
Google has developed a framework known as Project Naptime, which utilizes a large language model (LLM) for vulnerability research. The framework allows an AI agent to simulate the actions and workflow of a human security researcher.
Google's Project Zero team of zero-day hunters believes that artificial intelligence (AI) can enhance automated threat identification and analysis by detecting vulnerabilities that are often missed by current tools.
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