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Zhuoqun Yan

dblp:338/0618 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2026
0000-0002-2866-8518ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Cryptographic protocols and secure computation · 54% Security and privacy of machine learning · 23% Privacy and data protection · 23%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › data aggregation
collusion-resistant aggregation
0.912025
Comments on "VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning" · IEEE Trans. Inf. Forensics Secur. 2025
Security and privacy of machine learning
federated learning security
0.912025
Comments on "VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning" · IEEE Trans. Inf. Forensics Secur. 2025
Cryptographic protocols and secure computation
secure aggregation
0.912025
Comments on "VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning" · IEEE Trans. Inf. Forensics Secur. 2025
Cryptographic protocols and secure computation › verifiable computation
verifiable federated learning
0.912025
Comments on "VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning" · IEEE Trans. Inf. Forensics Secur. 2025
Cryptographic protocols and secure computation
commitment schemes
0.312025
Comments on "VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning" · IEEE Trans. Inf. Forensics Secur. 2025

Methods — techniques the papers use, named apart from their topics

cryptanalysis · 0.9collusion attack · 0.9
YearPublicationVenuePosition
2026 Unified Seamless Authenticated Key Agreement for Heterogeneous Train-to-Train Direct Communications Based on Distributed SDN
Wenfang Zhang, Zhuoqun Yan, Muhammad Khurram Khan
IEEE Trans. Intell. Transp. Syst.4
2025 Comments on "VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning"
abstract
Gao et al. (2023)recently proposed a collusion-resistant and verifiable federated learning framework named VCD-FL (IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, vol. 18, pp. 3760–3773, 2023). However, in this letter, we show that VCD-FL fails to achieve its claimed security goals. In particular, we demonstrate that their designed commitment scheme, which serves as the core component of the proposed collusion-resistant verification mechanism, is unsafe, and then we present a feasible collusion attack launched by the aggregation server and corrupt clients by leveraging the existing security vulnerabilities.
Zhuoqun Yan, Wenfang Zhang, Muhammad Khurram Khan
IEEE Trans. Inf. Forensics Secur.1
2023 Security analysis and improvement of a public auditing scheme for secure data storage in fog-to-cloud computing
Wenfang Zhang, Heng Jiao, Zhuoqun Yan, Muhammad Khurram Khan
Comput. Secur.3