3 papers
cs.LG2023
Certifying the Fairness of KNN in the Presence of Dataset Bias
Yannan Li, Jingbo Wang, Chao Wang
We propose a method for certifying the fairness of the classification result of a widely used supervised learning algorithm, the k-nearest neighbors (KNN), under the assumption tha…
cs.SE2023
Systematic Testing of the Data-Poisoning Robustness of KNN
Yannan Li, Jingbo Wang, Chao Wang
Data poisoning aims to compromise a machine learning based software component by contaminating its training set to change its prediction results for test inputs. Existing methods f…
cs.CY2016
Assigning Creative Commons Licenses to Research Metadata: Issues and Cases
Marta Poblet, Amir Aryani, Paolo Manghi +7
This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and r…