6 citations · 9 across the 11 of their papers we have counts for
11 papers
Understanding the AI-powered Binary Code Similarity Detection
Lirong Fu, Peiyu Liu, Wenlong Meng +5
AI-powered binary code similarity detection (BinSD), which transforms intricate binary code comparison to the distance measure of code embedding through neural networks, has been w…
A Problem-Oriented Perspective and Anchor Verification for Code Optimization
Tong Ye, Tengfei Ma, Xuhong Zhang +3
Large Language Models (LLMs) have shown remarkable capabilities in solving various programming tasks, such as code generation. However, their potential for code optimization, parti…
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting
Tong Ye, Yangkai Du, Tengfei Ma +4
Large Language Models (LLMs) have demonstrated remarkable proficiency in generating code. However, the misuse of LLM-generated (synthetic) code has raised concerns in both educatio…
Marlin: Knowledge-Driven Analysis of Provenance Graphs for Efficient and Robust Detection of Cyber Attacks
Zhenyuan Li, Yangyang Wei, Xiangmin Shen +9
Recent research in both academia and industry has validated the effectiveness of provenance graph-based detection for advanced cyber attack detection and investigation. However, an…
MEAOD: Model Extraction Attack against Object Detectors
Zeyu Li, Chenghui Shi, Yuwen Pu +4
The widespread use of deep learning technology across various industries has made deep neural network models highly valuable and, as a result, attractive targets for potential atta…
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention
Lujia Shen, Yuwen Pu, Shouling Ji +4
Transformer-based models, such as BERT and GPT, have been widely adopted in natural language processing (NLP) due to their exceptional performance. However, recent studies show the…
Facial Data Minimization: Shallow Model as Your Privacy Filter
Yuwen Pu, Jiahao Chen, Jiayu Pan +4
Face recognition service has been used in many fields and brings much convenience to people. However, once the user's facial data is transmitted to a service provider, the user wil…
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
Yangkai Du, Tengfei Ma, Lingfei Wu +2
Code Clone Detection, which aims to retrieve functionally similar programs from large code bases, has been attracting increasing attention. Modern software often involves a diverse…
Exploring ChatGPT's Capabilities on Vulnerability Management
Peiyu Liu, Junming Liu, Lirong Fu +7
Recently, ChatGPT has attracted great attention from the code analysis domain. Prior works show that ChatGPT has the capabilities of processing foundational code analysis tasks, su…
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code
Tong Ye, Lingfei Wu, Tengfei Ma +5
Automatically generating function summaries for binaries is an extremely valuable but challenging task, since it involves translating the execution behavior and semantics of the lo…
Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
Yifan Xia, Ping He, Xuhong Zhang +3
The emergence of WebAssembly allows attackers to hide the malicious functionalities of JavaScript malware in cross-language interoperations, termed JavaScript-WebAssembly multiling…