2019年7月31日に外国人客員教員による講演会を開催します

外国人客員教員（特任准教授）のPanagiotis Karras先生（デンマーク オーフス大学）による講演会を下記のとおり開催いたします。近年重要度を増しているプライバシーに関する講演です。適度なプライバシーの保護を達成しつつ、一方で有用な情報をできるだけ保持したいというトレードオフに応えるための新たなアプローチについての解説です。

日時：2019年7月31日(水) 16:00-17:30
場所：ES総合館 2F 025講義室
講演者：　Panagiotis Karras
　　　　　デンマーク オーフス大学計算機科学科 准教授
　　　　　価値創造研究センター 特任准教授　　

題目：Data Privacy without Noise
アブストラクト：
The right to privacy is challenged in the era of big data. Several organizations collect data involving people, which they share for benign purposes. Yet this data collection and sharing also raises privacy concerns. The question arises: can we share informative data under meaningful privacy guarantees? Syntactic data anonymization ventures to answer this question by producing a correct but imprecise data representation, without adding noise to the data. Yet the information-privacy tradeoff calls for sophisticated algorithms that maximize the preserved information while enforcing a privacy guarantee. Privacy guarantees require careful modeling themselves.
In this talk, I will outline three contributions to this field: (i) a framework for multidimensional data anonymization using space-filling curves; (ii) β-likeness, a privacy model that bounds the increase in an adversary's confidence regarding sensitive information, and efficient algorithms for that model; and (iii) a method that anonymizes data by recasting values heterogeneously, thereby preserving more information, while providing the same privacy as other techniques. Last, I will talk about plans for further research in this area.


講師略歴：
Panagiotis Karras is an Associate Professor in Computer Science at Aarhus University.　In his research he designs robust and versatile methods for data access, mining, and representation.　He received an MSc in Electrical and Computer Engineering from the National Technical University of Athens, a PhD in Computer Science from the University of Hong Kong, and the 2008 Young Scientist Award in Physical/Mathematical Science from HKIS. In the past he has held positions at Aalborg University, Skoltech, Rutgers, NUS, UZH, and DTU.
 
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