TLDR. We present the first all-in-one deblurring method, enabled by the strong similarity we observed in the network weights for handling different blur degradations. This is the official ...

Abstract: Large language models (LLMs) have emerged as a promising tool for detecting code vulnerabilities, potentially offering advantages over traditional rule-based methods. This paper proposes an ...

context: "Decode-and-execute encoding evasion is a form of LLM01:2025 injection that hides the harmful payload in an alternative encoding to avoid literal-keyword detection." ...

Abstract: Within a digital system the information is represented by means of binary digits, also known as “bits”, and most frequently they have the meaning of numbers. In order to show the value of a ...

It’s been three-and-a-half years since generative AI exploded onto the scene. In this past year, progress has continued its relentless pace: Vibe coding took off, companies embraced agentic workflows, ...