2026
1.
Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep Embedding Conference Forthcoming
accepted in the 43rd International Conference on Machine Learning (ICML) , Forthcoming.
2.
Rethinking the Transferable Adversarial Attacks and Robust Defense in Federated Learning Conference Forthcoming
accepted in the 35th International Conference on Computer Communications and Networks (ICCCN 2026), Forthcoming.
3.
Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks Conference Forthcoming
accepted in the 35th International Conference on Computer Communications and Networks (ICCCN 2026), Forthcoming.
4.
GPU Accelerated Fully Homomorphic Encryption Framework for End-to-End Logistic Regression Conference Forthcoming
accepted in the 22nd EAI International Conference on Security and Privacy in Communication Networks, Forthcoming.
5.
accepted in the 103rd IEEE Vehicular Technology Conference (VTC2026-Spring), Forthcoming.
6.
accepted in the 12th IEEE International Conference on Big Data Security on Cloud
(IEEE BigDataSecurity 2026), Forthcoming.
7.
Secured Prediction: Password Guessability Analysis Using Gradient Boosting Machines Conference Forthcoming
accepted in the 12th IEEE International Conference on Big Data Security on Cloud
(IEEE BigDataSecurity 2026), Forthcoming.
8.
A Stability Testing Framework for Machine Learning in Honeypot Traffic Classification Conference Forthcoming
accepted in the 12th IEEE International Conference on Big Data Security on Cloud (IEEE BigDataSecurity 2026), Forthcoming.
9.
WACV 2026 Workshop on Image/Video/Audio Quality Assessment in Computer Vision, VLM and Diffusion Model (WVAQ), 2026.
10.
In: Tsinghua Science and Technology, vol. 31, no. 1, pp. 590-608, 2026.
11.
Distributed Generative Model: A Data Synthesizing Framework for Multisource Heterogeneous Data Journal
In: IEEE Transactions on Artificial Intelligence, vol. 7, no. 1, pp. 399-411, 2026.
2025
1.
in Proceedings of the NeurIPS 2025 Workshop on Reliable ML from Unreliable Data, 2025.
2.
Evaluating Small Language Models for Intrusion Detection on Automotive Embedded Platforms Conference
RACS '25 Association for Computing Machinery, New York, NY, USA, 2025, ISBN: 9798400722318.
3.
Proceedings of the International Conference on Research in Adaptive and Convergent Systems, RACS '25 Association for Computing Machinery, New York, NY, USA, 2025, ISBN: 9798400722318.
4.
DDSNet: A Lightweight Dense Depthwise Separable Network for Tumor Classification Conference
accepted in 40th ACM/SIGAPP Symposium on Applied Computing, 2025.
5.
In: IEEE Communications Surveys & Tutorials, vol. 27, no. 6, pp. 3587-3614, 2025.
6.
In: Intelligent and Converged Networks, vol. 6, no. 4, pp. 311-325, 2025.
7.
In: Scientific Reports, vol. 15, no. 35549, pp. 1-18, 2025.
8.
In: Mathematics, vol. 13, no. 7, 2025.
9.
In: IEEE Internet of Things Journal, vol. 12, no. 16, pp. 32563-32580, 2025.
10.
2025 34th International Conference on Computer Communications and Networks (ICCCN), 2025.
2024
1.
accepted in the 20th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2024.
2.
accepted in the 20th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2024.
3.
accepted in the 20th EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2024.
4.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer 2024.
5.
Appro-Fun: Approximate Machine Unlearning in Federated Setting Conference
2024 International Conference on Computer Communications and Networks (ICCCN), IEEE 2024.
2023
1.
In: IEEE Transactions on Dependable and Secure Computing (IF=7.3), vol. 20, no. 4, pp. 3176-3193, 2023.
2.
In: Digital Communications and Networks (IF=7.9), vol. 9, no. 2, pp. 313-326, 2023.
3.
In: Drones (IF=4.8), vol. 7, no. 3, pp. 159:1-12, 2023.
4.
In: IEEE Internet of Things Journal (IF=10.6), vol. 10, no. 7, pp. 6235-6248, 2023.
5.
An Empirical Analysis of Image Augmentation Against Model Inversion Attack in Federated Learning Journal
In: Cluster Computing (IF=4.4), vol. 26, pp. 349-366, 2023.
2022
1.
In: pp. 35-63, 2022.
2.
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022.
3.
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022.
4.
IEEE Conference on Computer Communications (INFOCOM) Poster, 2022.
2021
1.
In: Machine Learning with Application, vol. 6, no. 15, pp. 1-12, 2021.
2.
Digestive Neural Networks: A Novel Defense Strategy Against Inference Attacks in Federated Learning Journal
In: Computers & Security, vol. 109,, pp. 1-20, 2021.
3.
Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing Conference
IEEE International Conference on Cluster Computing (CLUSTER), 2021.
4.
In: Security and Communication Networks, vol. 2021, no. Article ID 4702469, pp. 1-14, 2021.
5.
accepted in IEEE International Conference on Communications (ICC): Communication and Information Systems Security Symposium (CISS), 2021.
2020
1.
in Proceedings of the IEEE Global Communications Conference (IEEE GlobeCom 2020), 2020.
2.
In: IEEE Network Magazine, vol. 34, no. 6, pp. 288-294, 2020.
3.
Rethinking the Weakness of Stream Ciphers and Its Application to Encrypted Malware Detection Journal
In: IEEE ACCESS, vol. 8, pp. 191602-191616, 2020.
4.
in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2020), 2020.
5.
SuperB: Superior Behavior-based Anomaly Detection Defining Authorized Users' Traffic Patterns Conference
in Proceedings of the 29th International Conference on Computer Communications and Networks (ICCCN), 2020.
6.
In: IEEE ACCESS, vol. 8, pp. 117782-117801, 2020.
7.
In: IEEE Transactions on Sustainable Computing, vol. 5, no. 2, pp. 279-290, 2020.
8.
In: Tsinghua Science and Technology, vol. 25, no. 1, pp. 28-43, 2020.
