7 citations · 9 across the 3 of their papers we have counts for
3 papers
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…
cs.LG2021
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…
cs.CV2020★ 7 cited
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…