Jiahui Wu
Orcid: 0000-0003-0121-5575Affiliations:
- Peng Cheng Laboratory, Shenzhen, China
- Southwest University, China
According to our database1,
Jiahui Wu authored at least 30 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Efficient ML-DSA Public Key Management Method with Identity for PKI and Its Application.
CoRR, March, 2026
SecDV: A Lightweight Secure Deep Neural Network Inference Service With Dynamic Verification.
IEEE Trans. Netw. Sci. Eng., 2026
CryptDNN: A Fast Privacy-Preserving Deep Neural Network Inference Architecture Based on Cloud-Edge-Client Collaboration.
IEEE Trans. Netw. Sci. Eng., 2026
FSAT: A Faster Secure Convolutional Neural Network Inference Framework With Adversarial Training in Resource-Constrained Scenarios.
IEEE Trans. Inf. Forensics Secur., 2026
Privacy-Preserving Federated Learning Scheme With Mitigating Model Poisoning Attacks: Vulnerabilities and Countermeasures.
IEEE Trans. Dependable Secur. Comput., 2026
IEEE Trans. Dependable Secur. Comput., 2026
Mimi: Dynamically Secure Multi-Keyword Retrieval Scheme With Two-Factor Verification.
IEEE Trans. Dependable Secur. Comput., 2026
2025
Secure Multi-Key Homomorphic Encryption with Application to Privacy-Preserving Federated Learning.
CoRR, June, 2025
Vulnerabilities of NSPFL: Privacy-Preserving Federated Learning With Data Integrity Auditing.
IEEE Trans. Inf. Forensics Secur., 2025
IEEE Trans. Inf. Forensics Secur., 2025
ESAFL: Efficient Secure Additively Homomorphic Encryption for Cross-Silo Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2025
2024
Pmir: an efficient privacy-preserving medical images search in cloud-assisted scenario.
Neural Comput. Appl., January, 2024
An Efficient Privacy-Preserving Ranked Multi-Keyword Retrieval for Multiple Data Owners in Outsourced Cloud.
IEEE Trans. Serv. Comput., 2024
On the Security of "LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing".
IEEE Trans. Inf. Forensics Secur., 2024
Key-Policy Attribute-Based Encryption With Switchable Attributes for Fine-Grained Access Control of Encrypted Data.
IEEE Trans. Inf. Forensics Secur., 2024
On the Security of Verifiable and Oblivious Secure Aggregation for Privacy-Preserving Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2024
IEEE Trans. Dependable Secur. Comput., 2024
2023
IEEE Trans. Cloud Comput., 2023
A Novel Privacy-Preserving Location-Based Services Search Scheme in Outsourced Cloud.
IEEE Trans. Cloud Comput., 2023
2022
Achieving Privacy-Preserving Online Diagnosis With Outsourced SVM in Internet of Medical Things Environment.
IEEE Trans. Dependable Secur. Comput., 2022
SecEDMO: Enabling Efficient Data Mining with Strong Privacy Protection in Cloud Computing.
IEEE Trans. Cloud Comput., 2022
Secur. Commun. Networks, 2022
2021
Proceedings of the 15th International Symposium on Medical Information and Communication Technology, 2021
2020
A Chaotic Image Encryption Scheme Based on Hénon-Chebyshev Modulation Map and Genetic Operations.
Int. J. Bifurc. Chaos, 2020
Privacy-preserving self-serviced medical diagnosis scheme based on secure multi-party computation.
Comput. Secur., 2020
2019
Cryptanalysis and Enhancement of an Image Encryption Scheme Based on Bit-Plane Extraction and Multiple Chaotic Maps.
IEEE Access, 2019
Privacy-Preserving Fuzzy Multi-Keyword Search for Multiple Data Owners in Cloud Computing.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
2018
Cryptanalysis and enhancements of image encryption based on three-dimensional bit matrix permutation.
Signal Process., 2018
2017
Signal Process., 2017