Security of LLM-generated code LLMs-driven threat modeling LLMs for Solving Offensive Security Challenges such as Capture the Flag Reliability Issues of using LLMs in the cybersecurity contex LLMs for generation and analysis of Cyber Threat Intelligence (CTI) Privacy issues of LLMs and privacy-pr...
Carnegie Mellon University's Software Engineering Institute (SEI) and OpenAI published awhite paperthat found that large language models (LLMs) could be an asset for cybersecurity professionals, but should be evaluated using real and complex scenarios to better understand the technology's capabilities ...
One of the most common components of artificial intelligence is large language models (LLM). It is used to understand language from text data and extract features to predict future words or missing in text datasets. LLM can enhance cyber resilience by providing various benefits for users and ...
Large language models have shown great potential for enhancing various aspects of cybersecurity. From threat detection to security awareness training to data security posture management (DSPM), AI-driven language models can streamline processes, improve accuracy, and support human ...
xylhfree 大模型(LLM)最新论文摘要 | ChatGPT and other Large Language Models for Cybersecurity of Smart Grid Applications Authors: Aydin Zaboli, Seong Lok Choi, Tai-Jin Song, Junho Hong Cybersecurity breaches targeting electrical substations constitute a significant threat to the integrity of the po...
内容提示: PLLM-CS: Pre-trained Large Language Model (LLM)for Cyber Threat Detection in Satellite NetworksMohammed Hassanin a , Marwa Keshk b , Sara Salim b , Majid Alsubaie c ,Dharmendra Sharma ca the University of South Australia (UniSA), SA, Australiab University of New South Wales, ...
The nature of attacks determines the nature of defenses, making large models a must-have for cybersecurity companies. Global security firms are acting swiftly. In May, Microsoft officially launched Security Copilot. Last year, Google introduced its dedicated cybersecurity large model, and cybersecurit...
However, performance on these benchmark tasks may not accurately reflect how well models will work in cybersecurity contexts. Because these tasks are generalized, they might not reveal disparities in security-specific expertise among models that result from their training data. ...
A Domain-Adaptive Large Language Model With Refinement Framework For IoT Cybersecurity 来自 IEEEXplore 喜欢 0 阅读量: 2 作者:X Che,Y Zheng,M Zhu,Q Li,X Dong 摘要: To address the increasingly complex security challenges in Internet-of-Things (IoT) environments, Large Language Models (LLMs) ...
The launch of this platform underscores a new era in AI deployment, where the benefits of powerful LLMs can be realized without compromising data privacy and security. Edgeless Systems, a Germany-based cybersecurity company that develops open-source software for confidential computing, i...