Lijuan Huo

Orcid: 0000-0002-4132-2124

According to our database1, Lijuan Huo authored at least 14 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Transferable Adversarial Attacks on 3-D Point Cloud Semantic Segmentation via Diffusion Models in Autonomous Driving.
IEEE Trans. Consumer Electron., May, 2026

All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference.
CoRR, March, 2026

Heterogeneous Privacy-Preserving Federated Learning for Edge Intelligence.
IEEE Trans. Inf. Forensics Secur., 2026

SecChain: A Secure Stateless Sharded Blockchain via a Novel State Commitment.
IEEE Trans. Dependable Secur. Comput., 2026

Efficient Dynamic Auditing Scheme for Cloud Data Sharing of Intelligent Connected Fleet.
IEEE Trans. Dependable Secur. Comput., 2026

2025
FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning.
CoRR, July, 2025

NTTproofs: A Maintainable and Aggregatable Vector Commitment With Fast Openings and Updates.
IEEE Trans. Inf. Forensics Secur., 2025

Ascina: Efficient Proof of Retrievability for Industrial Cloud Storage Systems.
IEEE Trans. Inf. Forensics Secur., 2025

FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Libras: A Fair, Secure, Verifiable, and Scalable Outsourcing Computation Scheme Based on Blockchain.
IEEE Trans. Inf. Forensics Secur., 2024

2022
Dealing with Markov-switching parameters in quantile regression models.
Commun. Stat. Simul. Comput., 2022

2021
A double steganography model combining blockchain and interplanetary file system.
Peer-to-Peer Netw. Appl., 2021

2020
Sequentially Estimating the Approximate Conditional Mean Using Extreme Learning Machines.
Entropy, 2020

Attentive Part-aware Networks for Partial Person Re- identification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020


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