講演者：吉田裕哉 (名古屋大学 多元数理科学研究科 M2)
題目：Accuracy-Privacy Trade-off in Analyzing Randomized Responses
We consider the problem of analyzing global property of private data, where the privacy of individual respondent is protected through releasing randomized responses, subject to a certain rule. However, there is always a tradeoff between global accuracy and individual privacy. Here we focus on the scenarios of answering YES/NO questions, and derive an optimal solution to the tradeoff problem, which aims at optimizing the estimation of the global property while maintain a given level of privacy on the individual data.
The talk will be in Japanese
|日時||2018/05/10(木) 11:00 - 12:00|