20 papers
OrbitBFT: Enabling Scalable and Robust BFT Consensus in LEO Constellations
Tianyi Sun, Shuo Liu, Minghui Xu +1
Low Earth Orbit (LEO) satellite constellations are evolving from communication relays into autonomous platforms operating in increasingly congested and contested environments. Sinc…
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…
Graph-Aware Stealthy Poison-Text Backdoors for Text-Attributed Graphs
Qi Luo, Minghui Xu, Dongxiao Yu +1
Modern graph learning systems often combine links with text, as in citation networks with abstracts or social graphs with user posts. In such systems, text is usually easier to edi…
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…