Agnideven Palanisamy Sundar

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Subjective Logic-based Decentralized Federated Learning for Non-IID Data.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Availability, Reliability and Security, 2024

2023

TrustNetFL: Enhancing Federated Learning with Trusted Client Aggregation for Improved Security.

[BibT_eX]

[DOI]

David Chen

Kehan Wang

Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Unsupervised Deep Learning for an Image Based Network Intrusion Detection System.

[BibT_eX]

[DOI]

Ryan Hosler

Proceedings of the IEEE Global Communications Conference, 2023

2022

Distributed Swift and Stealthy Backdoor Attack on Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2022

2021

Learning Discriminative Features for Adversarial Robustness.

[BibT_eX]

[DOI]

Ryan Hosler

Tyler Phillips

Xiaoyuan Yu

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2020

Understanding Shilling Attacks and Their Detection Traits: A Comprehensive Survey.

[BibT_eX]

[DOI]

IEEE Access, 2020

Multi-Armed-Bandit-based Shilling Attack on Collaborative Filtering Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2020

Deep Dynamic Clustering of Spam Reviewers using Behavior-Anomaly-based Graph Embedding.

[BibT_eX]

[DOI]