2 citations · 2 across the 1 of their papers we have counts for
2 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.SE2020
Efficiently Finding Higher-Order Mutants
Chu-Pan Wong, Jens Meinicke, Leo Chen +3
Higher-order mutation has the potential for improving major drawbacks of traditional first-order mutation, such as by simulating more realistic faults or improving test optimizatio…