This is the official code repository for the paper "Exploiting the Adversarial Example Vulnerability of Transfer Learning of Source Code"(TIFS 2024). State-of-the-art source code classification models ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

AI-generated code can introduce subtle security flaws when teams over-trust automated output. Intruder shows how an AI-written honeypot introduced hidden vulnerabilities that were exploited in attacks ...

WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.

The purpose of this repository is to provide a few sample prompts used in order to create a simple Python GUI for the Linux desktop project. I created this repository and wrote these prompts on March ...

Abstract: This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from errors, ...

Abstract: In this paper, we propose LMST - an approach for Large Language Model (LLM) based conversion of the PyTorch code of an ML model into Solidity. Beyond mere correctness, we try to achieve gas ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...