174 citations · 210 across the 14 of their papers we have counts for
14 papers
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
Minghao Hu, Junzhe Wang, Weisen Zhao +2
Applying deep learning to malware detection has drawn great attention due to its notable performance. With the increasing prevalence of cyberattacks targeting IoT devices, there is…
Impact of Fine-Tuning Methods on Memorization in Large Language Models
Jie Hou, Chuxiong Wu, Lannan Luo +1
As the capabilities of pre-trained large language models (LLMs) continue to advance, the "pre-train and fine-tune" paradigm has become increasingly mainstream, leading to the devel…
BinSimDB: Benchmark Dataset Construction for Fine-Grained Binary Code Similarity Analysis
Fei Zuo, Cody Tompkins, Qiang Zeng +3
Binary Code Similarity Analysis (BCSA) has a wide spectrum of applications, including plagiarism detection, vulnerability discovery, and malware analysis, thus drawing significant…
Touch to Pair: Secure and Usable IoT Pairing without Information Loss
Chuxiong Wu, Xiaopeng Li, Lannan Luo +1
Secure pairing is essential for trustworthy deployment and operation of Internet of Things (IoT) devices. However, traditional pairing methods are unsuitable due to the lack of use…
Deep Learning Approach Protecting Privacy in Camera-Based Critical Applications
Gautham Ramajayam, Tao Sun, Chiu C. Tan +2
Many critical applications rely on cameras to capture video footage for analytical purposes. This has led to concerns about these cameras accidentally capturing more information th…
PFirewall: Semantics-Aware Customizable Data Flow Control for Smart Home Privacy Protection
Haotian Chi, Qiang Zeng, Xiaojiang Du +1
Internet of Things (IoT) platforms enable users to deploy home automation applications. Meanwhile, privacy issues arise as large amounts of sensitive device data flow out to IoT pl…
PFirewall: Semantics-Aware Customizable Data Flow Control for Home Automation Systems
Haotian Chi, Qiang Zeng, Xiaojiang Du +1
Emerging Internet of Thing (IoT) platforms provide a convenient solution for integrating heterogeneous IoT devices and deploying home automation applications. However, serious priv…
A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis
Kimberly Redmond, Lannan Luo, Qiang Zeng
Given a closed-source program, such as most of proprietary software and viruses, binary code analysis is indispensable for many tasks, such as code plagiarism detection and malware…
Code-less Patching for Heap Vulnerabilities Using Targeted Calling Context Encoding
Qiang Zeng, Golam Kayas, Emil Mohammed +3
Exploitation of heap vulnerabilities has been on the rise, leading to many devastating attacks. Conventional heap patch generation is a lengthy procedure, requiring intensive manua…
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
Qiang Zeng, Jianhai Su, Chenglong Fu +2
Adversarial examples (AEs) are crafted by adding human-imperceptible perturbations to inputs such that a machine-learning based classifier incorrectly labels them. They have become…
Exploiting the Inherent Limitation of L0 Adversarial Examples
Fei Zuo, Bokai Yang, Xiaopeng Li +2
Despite the great achievements made by neural networks on tasks such as image classification, they are brittle and vulnerable to adversarial example (AE) attacks, which are crafted…
Validating the Contextual Information of Outdoor Images for Photo Misuse Detection
Xiaopeng Li, Xianshan Qu, Wenyuan Xu +3
The contextual information (i.e., the time and location) in which a photo is taken can be easily tampered with or falsely claimed by forgers to achieve malicious purposes, e.g., cr…
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
Fei Zuo, Xiaopeng Li, Patrick Young +3
Binary code analysis allows analyzing binary code without having access to the corresponding source code. A binary, after disassembly, is expressed in an assembly language. This in…
Context-aware System Service Call-oriented Symbolic Execution of Android Framework with Application to Exploit Generation
Lannan Luo, Qiang Zeng, Chen Cao +7
Android Framework is a layer of software that exists in every Android system managing resources of all Android apps. A vulnerability in Android Framework can lead to severe hacks,…