
Purdue University
Purdue University
2 Projects, page 1 of 1
assignment_turned_in Project2023 - 9999Partners:Purdue University, Birck Nanotechnology Center, Department of Agricultural and Biological Engineering, Purdue UniversityPurdue University, Birck Nanotechnology Center, Department of Agricultural and Biological Engineering,Purdue UniversityFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 019.231EN.014In nature, plants produce compounds that help them protect themselves against pest insects, fungi and harmful bacteria. The researcher is investigating how plants regulate the production of these compounds. The results of this research offer possibilities for growing food crops that are better able to defend themselves, and will therefore be less dependent on synthetic pesticides for their protection.
more_vert assignment_turned_in Project2017 - 2021Partners:Technische Universiteit Eindhoven - Eindhoven University of Technology, Purdue University, Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica, Technische Universiteit Eindhoven - Eindhoven University of Technology, Purdue UniversityTechnische Universiteit Eindhoven - Eindhoven University of Technology,Purdue University,Technische Universiteit Eindhoven - Eindhoven University of Technology, Faculteit Wiskunde en Informatica - Department of Mathematics and Computer Science, Informatica,Technische Universiteit Eindhoven - Eindhoven University of Technology,Purdue UniversityFunder: Netherlands Organisation for Scientific Research (NWO) Project Code: 628.001.026This research concerns the tension between collection and useful use of data and privacy. Collected data is either published in an adapted form or stored in a database where questions can be asked to a limited extent. The challenge is to do this in such a way that privacy is sufficiently protected, while at the same time the limited form in which the data is available is sufficient to derive useful information from data. A popular way to analyse this scientific issue is called Differential Privacy (DP). Here so-called non-asymptotic analysis methods from information theory are used to analyse DP.
more_vert