7 citations · 10 across the 4 of their papers we have counts for
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cs.CR2022★ 1 cited
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations
Manaar Alam, Esha Sarkar, Michail Maniatakos
Federated Learning (FL) enables numerous participants to train deep learning models collaboratively without exposing their personal, potentially sensitive data, making it a promisi…
cs.CR2022★ 2 cited
Scalable privacy-preserving cancer type prediction with homomorphic encryption
Esha Sarkar, Eduardo Chielle, Gamze Gursoy +3
Machine Learning (ML) alleviates the challenges of high-dimensional data analysis and improves decision making in critical applications like healthcare. Effective cancer type from…