K. M. Sameera

According to our database, K. M. Sameera authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems.

K. M. Sameera, P. Vinod, Anderson Rocha, Rafidha Rehiman K. A., Mauro Conti

CoRR, April, 2025

SecDefender: Detecting low-quality models in multidomain federated learning systems.

K. M. Sameera, Arnaldo Sgueglia, P. Vinod, Rafidha Rehiman K. A., Corrado Aaron Visaggio, Andrea Di Sorbo, Mauro Conti

Future Gener. Comput. Syst., 2025

2024

Privacy-preserving in Blockchain-based Federated Learning systems.

K. M. Sameera, Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P., Mauro Conti

Comput. Commun., 2024

LFGurad: A Defense against Label Flipping Attack in Federated Learning for Vehicular Network.

K. M. Sameera, Vinod P., Rafidha Rehiman K. A., Mauro Conti

Comput. Networks, 2024

DLShield: A Defense Approach Against Dirty Label Attacks in Heterogeneous Federated Learning.

K. M. Sameera, M. Abhinav, P. P. Amal, T. Babu Abhiram, Raj K. Abishek, Tomichen Amal, P. Anaina, P. Vinod, Rafidha Rehiman K. A., Mauro Conti

Proceedings of the Security, Privacy, and Applied Cryptography Engineering, 2024

A Privacy-Preserving Byzantine-Aware Swarm Learning Framework for CTI.

Marco Arazzi, Dincy R. Arikkat, Mert Cihangiroglu, K. M. Sameera

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

A Privacy Preservation Framework Using Integration of Blockchain and Federated Learning.

K. M. Sameera, Rafidha Rehiman K. A., P. Vinod

SN Comput. Sci., November, 2023