April 2024

How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models

arXiv · Apr 29 · Research LLM

A study compared the vulnerability of C programs generated by nine state-of-the-art Large Language Models (LLMs) using a zero-shot prompt. The researchers introduced FormAI-v2, a dataset of 331,000 C programs generated by these LLMs, and found that at least 62.07% of the generated programs contained vulnerabilities, detected via formal verification. The research highlights the need for risk assessment and validation when deploying LLM-generated code in production environments.

DynaMMo: Dynamic Model Merging for Efficient Class Incremental Learning for Medical Images

arXiv · Apr 22 · Research Healthcare

Researchers at MBZUAI have developed DynaMMo, a dynamic model merging method for efficient class incremental learning using medical images. DynaMMo merges multiple networks at different training stages using lightweight learnable modules, reducing computational overhead. Evaluated on three datasets, DynaMMo achieved a 10-fold reduction in GFLOPS compared to existing dynamic methods with a 2.76 average accuracy drop.

UAE Abu Dhabi's CPX-Core42 merger plans have cyber providers worried - Intelligence Online

Inception · Apr 16 · Policy Ethics