UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
Abstract: Binary code analysis is essential in modern cybersecurity, examining compiled program outputs to identify vulnerabilities, detect malware, and ensure software security compliance. However, ...
python==3.10.14 torch==2.3.1+cu121 --index-url https://download.pytorch.org/whl/cu121 ogb==1.3.6 torch-geometric==2.5.3 torch-scatter==2.1.2+pt23cu121 --index-url ...
Microsoft on Wednesday said it built a lightweight scanner that it said can detect backdoors in open-weight large language models (LLMs) and improve the overall trust in artificial intelligence (AI) ...
A high-severity security flaw has been disclosed in OpenClaw (formerly referred to as Clawdbot and Moltbot) that could allow remote code execution (RCE) through a crafted malicious link. The issue, ...
Abstract: We present Cryptbara, a precise approach for detecting Python cryptographic API misuses. Cryptographic APIs are widely used to ensure data security, but their improper use can inadvertently ...
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