12 citations · 28 across the 35 of their papers we have counts for
12 papers · 1 filter
AutoPT: How Far Are We from the End2End Automated Web Penetration Testing?
Benlong Wu, Guoqiang Chen, Kejiang Chen +5
Penetration testing is essential to ensure Web security, which can detect and fix vulnerabilities in advance, and prevent data leakage and serious consequences. The powerful infere…
SQL Injection Jailbreak: A Structural Disaster of Large Language Models
Jiawei Zhao, Kejiang Chen, Weiming Zhang +1
Large Language Models (LLMs) are susceptible to jailbreak attacks that can induce them to generate harmful content. Previous jailbreak methods primarily exploited the internal prop…
Binary Code Similarity Detection via Graph Contrastive Learning on Intermediate Representations
Xiuwei Shang, Li Hu, Shaoyin Cheng +4
Binary Code Similarity Detection (BCSD) plays a crucial role in numerous fields, including vulnerability detection, malware analysis, and code reuse identification. As IoT devices…
Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate
Qidong Huang, Xiaoyi Dong, Pan Zhang +6
We present the Modality Integration Rate (MIR), an effective, robust, and generalized metric to indicate the multi-modal pre-training quality of Large Vision Language Models (LVLMs…
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
Kunsheng Tang, Wenbo Zhou, Jie Zhang +7
Large language models (LLMs) have exhibited remarkable capabilities in natural language generation, but they have also been observed to magnify societal biases, particularly those…
SPSW: Database Watermarking Based on Fake Tuples and Sparse Priority Strategy
Zhiwen Ren, Zehua Ma, Weiming Zhang +1
Databases play a crucial role in storing and managing vast amounts of data in various organizations and industries. Yet the risk of database leakage poses a significant threat to d…
©Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model
Chao Zhou, Huishuai Zhang, Jiang Bian +2
This paper addresses the contentious issue of copyright infringement in images generated by text-to-image models, sparking debates among AI developers, content creators, and legal…
How Far Have We Gone in Binary Code Understanding Using Large Language Models
Xiuwei Shang, Shaoyin Cheng, Guoqiang Chen +6
Binary code analysis plays a pivotal role in various software security applications, such as software maintenance, malware detection, software vulnerability discovery, patch analys…
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs
Xiuwei Shang, Guoqiang Chen, Shaoyin Cheng +4
Analyzing the behavior of cryptographic functions in stripped binaries is a challenging but essential task. Cryptographic algorithms exhibit greater logical complexity compared to…
Provably Secure Disambiguating Neural Linguistic Steganography
Yuang Qi, Kejiang Chen, Kai Zeng +2
Recent research in provably secure neural linguistic steganography has overlooked a crucial aspect: the sender must detokenize stegotexts to avoid raising suspicion from the eavesd…
Towards Generalist Prompting for Large Language Models by Mental Models
Haoxiang Guan, Jiyan He, Shuxin Zheng +3
Large language models (LLMs) have demonstrated impressive performance on many tasks. However, to achieve optimal performance, specially designed prompting methods are still needed.…
Model X-ray:Detecting Backdoored Models via Decision Boundary
Yanghao Su, Jie Zhang, Ting Xu +3
Backdoor attacks pose a significant security vulnerability for deep neural networks (DNNs), enabling them to operate normally on clean inputs but manipulate predictions when specif…