Differential Privacy Approach to Solve Gradient Leakage Attack in a Federated Machine Learning Environment. - Krishna Yadav; Brij B. Gupta; Kwok Tai Chui; Konstantinos E. Psannis (CSoNet, 2020)

Unsupervised Federated Learning based IoT Intrusion Detection. - Krishna Yadav; Brij B. Gupta; Ching-Hsien Hsu; Kwok Tai Chui (GCCE, 2021)

Clustering based Rewarding Algorithm to Detect Adversaries in Federated Machine Learning based IoT Environment. - Krishna Yadav; B. B. Gupta 001 (ICCE, 2021)

A novel approach for phishing URLs detection using lexical based machine learning in a real-time environment. - Brij B. Gupta; Krishna Yadav; Imran Razzak; Konstantinos E. Psannis; Arcangelo Castiglione; Xiaojun Chang (Comput. Commun., 2021)

Key Phrase Extraction & Applause Prediction. - Krishna Yadav; Lakshya Choudhary (CoRR, 2021)

Clustering Algorithm to Detect Adversaries in Federated Learning. - Krishna Yadav; B. B. Gupta 001 (CoRR, 2021)

Normalization of Spelling Variations in Code-Mixed Data. - Krishna Yadav; Md. Shad Akhtar; Tanmoy Chakraborty 002 (ICON, 2022)

Improving the Detection of Unknown DDoS Attacks through Continual Learning. - Beny Nugraha; Krishna Yadav; Parag Patil; Thomas Bauschert (CSR, 2023)

A Novel Data Poisoning Attack in Federated Learning based on Inverted Loss Function. - Prajjwal Gupta; Krishna Yadav; Brij B. Gupta; Mamoun Alazab; Thippa Reddy Gadekallu (Comput. Secur., 2023)

Enhancing IoT Intrusion Detection through Vertical Federated Learning and Latent Space Mapping. - Krishna Yadav; Harshit Chaubey; Rajesh Sah (ICDM (Workshops), 2024)