Harsh Kasyap

According to our database, Harsh Kasyap authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Privacy-preserving and Byzantine-robust Federated Learning Framework using Permissioned Blockchain.

Harsh Kasyap, Somanath Tripathy

Expert Syst. Appl., March, 2024

Beyond data poisoning in federated learning.

Harsh Kasyap, Somanath Tripathy

Expert Syst. Appl., January, 2024

Sine: Similarity is Not Enough for Mitigating Local Model Poisoning Attacks in Federated Learning.

Harsh Kasyap, Somanath Tripathy

IEEE Trans. Dependable Secur. Comput., 2024

Private and Secure Fuzzy Name Matching.

Harsh Kasyap, Ugur-Ilker Atmaca, Carsten Maple, Graham Cormode, Jiancong He

CoRR, 2024

Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency.

Harsh Kasyap, Ugur-Ilker Atmaca, Michela Iezzi, Toby Walsh, Carsten Maple

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

An Efficient Blockchain Assisted Reputation Aware Decentralized Federated Learning Framework.

Harsh Kasyap, Arpan Manna, Somanath Tripathy

IEEE Trans. Netw. Serv. Manag., September, 2023

HDFL: Private and Robust Federated Learning using Hyperdimensional Computing.

Harsh Kasyap, Somanath Tripathy, Mauro Conti

Proceedings of the 22nd IEEE International Conference on Trust, 2023

2022

PassMon: A Technique for Password Generation and Strength Estimation.

Sanjay Murmu, Harsh Kasyap, Somanath Tripathy

J. Netw. Syst. Manag., 2022

MILSA: Model Interpretation Based Label Sniffing Attack in Federated Learning.

Debasmita Manna, Harsh Kasyap, Somanath Tripathy

Proceedings of the Information Systems Security - 18th International Conference, 2022

Hidden Vulnerabilities in Cosine Similarity based Poisoning Defense.

Harsh Kasyap, Somanath Tripathy

Proceedings of the 56th Annual Conference on Information Sciences and Systems, 2022

2021

Privacy-preserving Decentralized Learning Framework for Healthcare System.

Harsh Kasyap, Somanath Tripathy

ACM Trans. Multim. Comput. Commun. Appl., 2021

Moat: Model Agnostic Defense against Targeted Poisoning Attacks in Federated Learning.

Arpan Manna, Harsh Kasyap, Somanath Tripathy

Proceedings of the Information and Communications Security - 23rd International Conference, 2021

DNet: An Efficient Privacy-Preserving Distributed Learning Framework for Healthcare Systems.

Parth Parag Kulkarni, Harsh Kasyap, Somanath Tripathy

Proceedings of the Distributed Computing and Internet Technology, 2021

2020

Collaborative Learning Based Effective Malware Detection System.

Narendra Singh, Harsh Kasyap, Somanath Tripathy

Proceedings of the ECML PKDD 2020 Workshops, 2020