7 citations · 10 across the 4 of their papers we have counts for
4 papers
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…
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…
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis
Esha Sarkar, Michail Maniatakos
Machine Learning (ML) has achieved unprecedented performance in several applications including image, speech, text, and data analysis. Use of ML to understand underlying patterns i…
FaceHack: Triggering backdoored facial recognition systems using facial characteristics
Esha Sarkar, Hadjer Benkraouda, Michail Maniatakos
Recent advances in Machine Learning (ML) have opened up new avenues for its extensive use in real-world applications. Facial recognition, specifically, is used from simple friend s…