34 citations · 53 across the 8 of their papers we have counts for
8 papers
IstGPT: LLM-based Anomaly Detection for Spatial-Temporal Graph in Industrial Systems
Yuchen Zhang, Ning Xi, Pengbin Feng +5
Industrial Internet systems face increasing threats from sophisticated industrial control system (ICS) attacks, resulting in critical safety incidents. However, existing tools exhi…
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection
Shigang Liu, Di Cao, Junae Kim +5
Recently, deep learning has demonstrated promising results in enhancing the accuracy of vulnerability detection and identifying vulnerabilities in software. However, these techniqu…
SemDiff: Binary Similarity Detection by Diffing Key-Semantics Graphs
Zian Liu, Zhi Zhang, Siqi Ma +6
Binary similarity detection is a critical technique that has been applied in many real-world scenarios where source code is not available, e.g., bug search, malware analysis, and c…
VulMatch: Binary-level Vulnerability Detection Through Signature
Zian Liu, Lei Pan, Chao Chen +4
Similar vulnerability repeats in real-world software products because of code reuse, especially in wildly reused third-party code and libraries. Detecting repeating vulnerabilities…
Information flow based defensive chain for data leakage detection and prevention: a survey
Ning Xi, Chao Chen, Jun Zhang +4
Mobile and IoT applications have greatly enriched our daily life by providing convenient and intelligent services. However, these smart applications have been a prime target of adv…
DeFuzz: Deep Learning Guided Directed Fuzzing
Xiaogang Zhu, Shigang Liu, Xian Li +4
Fuzzing is one of the most effective technique to identify potential software vulnerabilities. Most of the fuzzers aim to improve the code coverage, and there is lack of directedne…
A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification
Shigang Liu, Jun Zhang, Yang Xiang +2
Biomedical data are widely accepted in developing prediction models for identifying a specific tumor, drug discovery and classification of human cancers. However, previous studies…
An Overview of Attacks and Defences on Intelligent Connected Vehicles
Mahdi Dibaei, Xi Zheng, Kun Jiang +9
Cyber security is one of the most significant challenges in connected vehicular systems and connected vehicles are prone to different cybersecurity attacks that endanger passengers…