Suppressing Poisoning Attacks on Federated Learning for Medical Imaging. - Naif Alkhunaizi; Dmitry Kamzolov; Martin Takác 001; Karthik Nandakumar (MICCAI (8), 2022)

FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection. - Naif Alkhunaizi; Koushik Srivatsan; Faris Almalik; Ibrahim Almakky; Karthik Nandakumar (IJCB, 2023)

FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling. - Faris Almalik; Naif Alkhunaizi; Ibrahim Almakky; Karthik Nandakumar (MICCAI (2), 2023)

Probing the Efficacy of Federated Parameter-Efficient Fine-Tuning of Vision Transformers for Medical Image Classification. - Naif Alkhunaizi; Faris Almalik; Rouqaiah Al-Refai; Muzammal Naseer; Karthik Nandakumar (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)