1 citations · 2 across the 4 of their papers we have counts for
4 papers
FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge
Tianyu Zhang, Shen Dong, O. Deniz Kose +2
With the rise of machine learning techniques, ensuring the fairness of decisions made by machine learning algorithms has become of great importance in critical applications. Howeve…
FairWire: Fair Graph Generation
O. Deniz Kose, Yanning Shen
Machine learning over graphs has recently attracted growing attention due to its ability to analyze and learn complex relations within critical interconnected systems. However, the…
Fairness-aware Optimal Graph Filter Design
O. Deniz Kose, Yanning Shen, Gonzalo Mateos
Graphs are mathematical tools that can be used to represent complex real-world interconnected systems, such as financial markets and social networks. Hence, machine learning (ML) o…
Fairness-Aware Graph Filter Design
O. Deniz Kose, Yanning Shen, Gonzalo Mateos
Graphs are mathematical tools that can be used to represent complex real-world systems, such as financial markets and social networks. Hence, machine learning (ML) over graphs has…