66 citations · 93 across the 30 of their papers we have counts for
19 papers · 1 filter
PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation
Zhijun Li, Minghui Xu, Huayi Qi +6
Retrieval-Augmented Generation (RAG) is essential for enhancing Large Language Models (LLMs) with external knowledge, but its reliance on cloud environments exposes sensitive data…
AgentDID: Trustless Identity Authentication for AI Agents
Minghui Xu, Xiaoyu Liu, Yihao Guo +3
AI agents are autonomous entities that can be instantiated on demand, migrate across platforms, and interact with other agents or services without continuous human supervision. In…
SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection
Zhengyang Shan, Xu Qian, Jiayun Xin +5
Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundation for vulnerability detecti…
Almost-Free Queue Jumping for Prior Inputs in Private Neural Inference
Qiao Zhang, Minghui Xu, Tingchuang Zhang +1
Privacy-Preserving Machine Learning as a Service (PP-MLaaS) enables secure neural network inference by integrating cryptographic primitives such as homomorphic encryption (HE) and…
Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-based LLM Systems
Yueyan Dong, Minghui Xu, Qin Hu +5
Low-Rank Adaptation (LoRA) has become a popular solution for fine-tuning large language models (LLMs) in federated settings, dramatically reducing update costs by introducing train…
Beyond Model Jailbreak: Systematic Dissection of the "Ten DeadlySins" in Embodied Intelligence
Yuhang Huang, Junchao Li, Boyang Ma +6
Embodied AI systems integrate language models with real world sensing, mobility, and cloud connected mobile apps. Yet while model jailbreaks have drawn significant attention, the b…
CCN: Decentralized Cross-Chain Channel Networks Supporting Secure and Privacy-Preserving Multi-Hop Interactions
Minghui Xu, Yihao Guo, Yanqiang Zhang +5
Cross-chain technology enables interoperability among otherwise isolated blockchains, supporting interactions across heterogeneous networks. Similar to how multi-hop communication…
"MCP Does Not Stand for Misuse Cryptography Protocol": Uncovering Cryptographic Misuse in Model Context Protocol at Scale
Biwei Yan, Yue Zhang, Minghui Xu +5
The Model Context Protocol (MCP) is rapidly emerging as the middleware for LLM-based applications, offering a standardized interface for tool integration. However, its built-in sec…
What You Code Is What We Prove: Translating BLE App Logic into Formal Models with LLMs for Vulnerability Detection
Biwei Yan, Yue Zhang, Minghui Xu +3
The application layer of Bluetooth Low Energy (BLE) is a growing source of security vulnerabilities, as developers often neglect to implement critical protections such as encryptio…
Dataset Ownership in the Era of Large Language Models
Kun Li, Cheng Wang, Minghui Xu +2
As datasets become critical assets in modern machine learning systems, ensuring robust copyright protection has emerged as an urgent challenge. Traditional legal mechanisms often f…
xRWA: A Cross-Chain Framework for Interoperability of Real-World Assets
Yihao Guo, Haoming Zhu, Minghui Xu +2
Real-World Assets (RWAs) have recently attracted increasing attention as a means of bridging traditional financial instruments with decentralized infrastructures. By representing a…
Starfish: Rebalancing Multi-Party Off-Chain Payment Channels
Minghui Xu, Wenxuan Yu, Yuanzhe Zhang +7
Blockchain technology has revolutionized the way transactions are executed, but scalability remains a major challenge. Payment Channel Network (PCN), as a Layer-2 scaling solution,…
Trinity: A Scalable and Forward-Secure DSSE for Spatio-Temporal Range Query
Zhijun Li, Kuizhi Liu, Minghui Xu +4
Cloud-based outsourced Location-based services have profound impacts on various aspects of people's lives but bring security concerns. Existing spatio-temporal data secure retrieva…
EC-Chain: Cost-Effective Storage Solution for Permissionless Blockchains
Minghui Xu, Hechuan Guo, Ye Cheng +3
Permissionless blockchains face considerable challenges due to increasing storage demands, driven by the proliferation of Decentralized Applications (DApps). This paper introduces…
I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion
Kun Li, Shichao Zhuang, Yue Zhang +5
Large Language Models (LLMs) excel in diverse tasks such as text generation, data analysis, and software development, making them indispensable across domains like education, busin…
DataSafe: Copyright Protection with PUF Watermarking and Blockchain Tracking
Xiaolong Xue, Guangyong Shang, Zhen Ma +4
Digital watermarking methods are commonly used to safeguard digital media copyrights by confirming ownership and deterring unauthorized use. However, without reliable third-party o…
FileDES: A Secure Scalable and Succinct Decentralized Encrypted Storage Network
Minghui Xu, Jiahao Zhang, Hechuan Guo +5
Decentralized Storage Network (DSN) is an emerging technology that challenges traditional cloud-based storage systems by consolidating storage capacities from independent providers…
On Protecting the Data Privacy of Large Language Models (LLMs): A Survey
Biwei Yan, Kun Li, Minghui Xu +4
Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyz…
A Systematic Survey of Blockchained Federated Learning
Zhilin Wang, Qin Hu, Minghui Xu +3
With the technological advances in machine learning, effective ways are available to process the huge amount of data generated in real life. However, issues of privacy and scalabil…