5 citations · 5 across the 4 of their papers we have counts for
4 papers
CryptoX : Compositional Reasoning Evaluation of Large Language Models
Jiajun Shi, Chaoren Wei, Liqun Yang +7
The compositional reasoning capacity has long been regarded as critical to the generalization and intelligence emergence of large language models LLMs. However, despite numerous re…
FuzzCoder: Byte-level Fuzzing Test via Large Language Model
Liqun Yang, Jian Yang, Chaoren Wei +13
Fuzzing is an important dynamic program analysis technique designed for finding vulnerabilities in complex software. Fuzzing involves presenting a target program with crafted malic…
SEvenLLM: Benchmarking, Eliciting, and Enhancing Abilities of Large Language Models in Cyber Threat Intelligence
Hangyuan Ji, Jian Yang, Linzheng Chai +9
To address the increasing complexity and frequency of cybersecurity incidents emphasized by the recent cybersecurity threat reports with over 10 billion instances, cyber threat int…
WGAN-AFL: Seed Generation Augmented Fuzzer with Wasserstein-GAN
Liqun Yang, Chunan Li, Yongxin Qiu +5
The importance of addressing security vulnerabilities is indisputable, with software becoming crucial in sectors such as national defense and finance. Consequently, The security is…