27 citations · 70 across the 44 of their papers we have counts for
14 papers · 1 filter
LLM App Squatting and Cloning
Yinglin Xie, Xinyi Hou, Yanjie Zhao +2
Impersonation tactics, such as app squatting and app cloning, have posed longstanding challenges in mobile app stores, where malicious actors exploit the names and reputations of p…
Bridging Design and Development with Automated Declarative UI Code Generation
Ting Zhou, Yanjie Zhao, Xinyi Hou +3
Declarative UI frameworks have gained widespread adoption in mobile app development, offering benefits such as improved code readability and easier maintenance. Despite these advan…
Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
Jian Zhao, Shenao Wang, Yanjie Zhao +6
The proliferation of pre-trained models (PTMs) and datasets has led to the emergence of centralized model hubs like Hugging Face, which facilitate collaborative development and reu…
Towards Robust Detection of Open Source Software Supply Chain Poisoning Attacks in Industry Environments
Xinyi Zheng, Chen Wei, Shenao Wang +5
The exponential growth of open-source package ecosystems, particularly NPM and PyPI, has led to an alarming increase in software supply chain poisoning attacks. Existing static ana…
VoiceWukong: Benchmarking Deepfake Voice Detection
Ziwei Yan, Yanjie Zhao, Haoyu Wang
With the rapid advancement of technologies like text-to-speech (TTS) and voice conversion (VC), detecting deepfake voices has become increasingly crucial. However, both academia an…
Voices from the Frontier: A Comprehensive Analysis of the OpenAI Developer Forum
Xinyi Hou, Yanjie Zhao, Haoyu Wang
OpenAI's advanced large language models (LLMs) have revolutionized natural language processing and enabled developers to create innovative applications. As adoption grows, understa…
On the (In)Security of LLM App Stores
Xinyi Hou, Yanjie Zhao, Haoyu Wang
LLM app stores have seen rapid growth, leading to the proliferation of numerous custom LLM apps. However, this expansion raises security concerns. In this study, we propose a three…
WaDec: Decompiling WebAssembly Using Large Language Model
Xinyu She, Yanjie Zhao, Haoyu Wang
WebAssembly (abbreviated Wasm) has emerged as a cornerstone of web development, offering a compact binary format that allows high-performance applications to run at near-native spe…
GPTZoo: A Large-scale Dataset of GPTs for the Research Community
Xinyi Hou, Yanjie Zhao, Shenao Wang +1
The rapid advancements in Large Language Models (LLMs) have revolutionized natural language processing, with GPTs, customized versions of ChatGPT available on the GPT Store, emergi…
Seeing is (Not) Believing: Practical Phishing Attacks Targeting Social Media Sharing Cards
Wangchenlu Huang, Shenao Wang, Yanjie Zhao +2
In the digital era, Online Social Networks (OSNs) play a crucial role in information dissemination, with sharing cards for link previews emerging as a key feature. These cards offe…
GPT Store Mining and Analysis
Dongxun Su, Yanjie Zhao, Xinyi Hou +2
As a pivotal extension of the renowned ChatGPT, the GPT Store serves as a dynamic marketplace for various Generative Pre-trained Transformer (GPT) models, shaping the frontier of c…
Large Language Models for Cyber Security: A Systematic Literature Review
Hanxiang Xu, Shenao Wang, Ningke Li +6
The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersec…
LLM App Store Analysis: A Vision and Roadmap
Yanjie Zhao, Xinyi Hou, Shenao Wang +1
The rapid growth and popularity of large language model (LLM) app stores have created new opportunities and challenges for researchers, developers, users, and app store managers. A…
Large Language Model Supply Chain: A Research Agenda
Shenao Wang, Yanjie Zhao, Xinyi Hou +1
The rapid advancement of large language models (LLMs) has revolutionized artificial intelligence, introducing unprecedented capabilities in natural language processing and multimod…