Xinyuan Qian

Orcid: 0000-0003-3247-6516

Affiliations:
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China


According to our database1, Xinyuan Qian authored at least 20 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CP-uniGuard: A Unified, Probability-Agnostic, and Adaptive Framework for Malicious Agent Detection and Defense in Multi-Agent Embodied Perception Systems.
IEEE Trans. Mob. Comput., June, 2026

FIGhost: Fluorescent Ink-Based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition.
IEEE Trans. Dependable Secur. Comput., 2026

No Trespassing: Ground-View Adversarial Patches for Privacy-Aware Management in COTS Robot Vacuum Cleaner.
IEEE Trans. Dependable Secur. Comput., 2026

FastPaD: A Fast Privacy-Preserving Password Similarity Leakage Detection Protocol for IoT Services.
IEEE Internet Things J., 2026

MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
GuardGrid: A Queriable and Privacy-Preserving Aggregation Scheme for Smart Grid via Function Encryption.
IEEE Internet Things J., June, 2025

CP-Guard: A Unified, Probability-Agnostic, and Adaptive Framework for Malicious Agent Detection and Defense in Multi-Agent Embodied Perception Systems.
CoRR, June, 2025

FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition.
CoRR, May, 2025

The Lives of Others: Snooping on Smartphone Usage Behaviors via Attention-Enabled Multi-Channel Spatiotemporal Information Fusion.
IEEE Trans. Inf. Forensics Secur., 2025

2024
Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference.
IEEE Trans. Serv. Comput., 2024

Decentralized Multi-Client Functional Encryption for Inner Product With Applications to Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2024

OnePath: Efficient and Privacy-Preserving Decision Tree Inference in the Cloud.
CoRR, 2024

Privacy-Preserving Data Evaluation via Functional Encryption, Revisited.
Proceedings of the IEEE INFOCOM 2024, 2024

SecSCS: A User-Centric Secure Smart Camera System Based on Blockchain.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

An Efficient and Secure Privacy-Preserving Federated Learning Via Lattice-Based Functional Encryption.
Proceedings of the IEEE International Conference on Communications, 2024

QPFFL: Advancing Federated Learning with Quantum-Resistance, Privacy, and Fairness.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023
ESA-FedGNN: Efficient secure aggregation for federated graph neural networks.
Peer Peer Netw. Appl., March, 2023

Toward Efficient and End-to-End Privacy-Preserving Distributed Gradient Boosting Decision Trees.
Proceedings of the IEEE International Conference on Communications, 2023

2022
CryptoFE: Practical and Privacy-Preserving Federated Learning via Functional Encryption.
Proceedings of the IEEE Global Communications Conference, 2022

Fast Secure Aggregation for Privacy-Preserving Federated Learning.
Proceedings of the IEEE Global Communications Conference, 2022


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