2 citations · 4 across the 4 of their papers we have counts for
5 papers
DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators
Mingyi Zhou, Xiang Gao, Xiao Chen +3
Deploying DL models on mobile Apps has become ever-more popular. However, existing studies show attackers can easily reverse-engineer mobile DL models in Apps to steal intellectual…
LLM-based Unit Test Generation via Property Retrieval
Zhe Zhang, Xingyu Liu, Yuanzhang Lin +3
Automated unit test generation has been widely studied, with Large Language Models (LLMs) recently showing significant potential. Moreover, in the context of unit test generation,…
Scalable Defect Detection via Traversal on Code Graph
Zhengyao Liu, Xitong Zhong, Xingjing Deng +3
Detecting defects and vulnerabilities in the early stage has long been a challenge in software engineering. Static analysis, a technique that inspects code without execution, has e…
Investigating White-Box Attacks for On-Device Models
Mingyi Zhou, Xiang Gao, Jing Wu +3
Numerous mobile apps have leveraged deep learning capabilities. However, on-device models are vulnerable to attacks as they can be easily extracted from their corresponding mobile…
Reusing Convolutional Neural Network Models through Modularization and Composition
Binhang Qi, Hailong Sun, Hongyu Zhang +1
With the widespread success of deep learning technologies, many trained deep neural network (DNN) models are now publicly available. However, directly reusing the public DNN models…