Harsh Kasyap

20 papers A 1B 3Misc 3Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analysis of LLMs Against Prompt Injection and Jailbreak Attacks.
CoRR
Piyush Jaiswal, Aaditya Pratap, Shreyansh Saraswati, Harsh Kasyap, Somanath Tripathy
2026 J jnl
CQSA: Byzantine-robust Clustered Quantum Secure Aggregation in Federated Learning.
CoRR
Arnab Nath, Harsh Kasyap
2025 B conf
An Improved Vector Commitment Construction with Applications to Signatures.
TrustCom
Yalan Wang, Bryan Kumara, Harsh Kasyap, Liqun Chen, Sumanta Sarkar, Christopher J. P. Newton, Carsten Maple, Ugur-Ilker Atmaca
2025 J jnl
BACON: An Improved Vector Commitment Construction with Applications to Signatures.
IACR Cryptol. ePrint Arch.
Yalan Wang, Bryan Kumara, Harsh Kasyap, Liqun Chen, Sumanta Sarkar, Christopher J. P. Newton, Carsten Maple, Ugur-Ilker Atmaca
2025 B conf
Fairness-Constrained Optimization Attack in Federated Learning.
TrustCom
Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy
2025 J jnl
Fairness-Constrained Optimization Attack in Federated Learning.
CoRR
Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy
2024 J jnl
Beyond data poisoning in federated learning.
Expert Syst. Appl.
Harsh Kasyap, Somanath Tripathy
2024 A conf
Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency.
ECAI
Harsh Kasyap, Ugur-Ilker Atmaca, Michela Iezzi, Toby Walsh, Carsten Maple
2024 J jnl
Privacy-preserving and Byzantine-robust Federated Learning Framework using Permissioned Blockchain.
Expert Syst. Appl.
Harsh Kasyap, Somanath Tripathy
2024 J jnl
Private and Secure Fuzzy Name Matching.
CoRR
Harsh Kasyap, Ugur-Ilker Atmaca, Carsten Maple, Graham Cormode, Jiancong He
2024 J jnl
Sine: Similarity is Not Enough for Mitigating Local Model Poisoning Attacks in Federated Learning.
IEEE Trans. Dependable Secur. Comput.
Harsh Kasyap, Somanath Tripathy
2023 J jnl
An Efficient Blockchain Assisted Reputation Aware Decentralized Federated Learning Framework.
IEEE Trans. Netw. Serv. Manag.
Harsh Kasyap, Arpan Manna, Somanath Tripathy
2023 B conf
HDFL: Private and Robust Federated Learning using Hyperdimensional Computing.
TrustCom
Harsh Kasyap, Somanath Tripathy, Mauro Conti
2022 Misc conf
Hidden Vulnerabilities in Cosine Similarity based Poisoning Defense.
CISS
Harsh Kasyap, Somanath Tripathy
2022 Misc conf
MILSA: Model Interpretation Based Label Sniffing Attack in Federated Learning.
ICISS
Debasmita Manna, Harsh Kasyap, Somanath Tripathy
2022 J jnl
PassMon: A Technique for Password Generation and Strength Estimation.
J. Netw. Syst. Manag.
Sanjay Murmu, Harsh Kasyap, Somanath Tripathy
2021 Misc conf
DNet: An Efficient Privacy-Preserving Distributed Learning Framework for Healthcare Systems.
ICDCIT
Parth Parag Kulkarni, Harsh Kasyap, Somanath Tripathy
2021 — conf
Moat: Model Agnostic Defense against Targeted Poisoning Attacks in Federated Learning.
ICICS (1)
Arpan Manna, Harsh Kasyap, Somanath Tripathy
2021 J jnl
Privacy-preserving Decentralized Learning Framework for Healthcare System.
ACM Trans. Multim. Comput. Commun. Appl.
Harsh Kasyap, Somanath Tripathy
2020 — conf
Collaborative Learning Based Effective Malware Detection System.
PKDD/ECML Workshops
Narendra Singh, Harsh Kasyap, Somanath Tripathy