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UID:www.tcs.tifr.res.in/event/906
DTSTAMP:20230914T125943Z
SUMMARY:An Operational Measure of Information Leakage
DESCRIPTION:Speaker: Gowtham Raghunath Kurri\n\nAbstract: \nAbstract: Given
  two discrete random variables $X$ and $Y$\, how much information does $Y$
  leak about $X$? An operational definition of this leakage (called as maxi
 mal leakage) was given by Issa\, Kamath and Wagner 2016 motivated by the s
 etup of a guessing adversary. Maximal leakage is defined as the multiplica
 tive increase\, upon observing $Y$\, of the probability of correctly guess
 ing a randomized function of $X$\, maximized over all such randomized func
 tions. We discuss Issa et al. 's result which shows that maximal leakage i
 s equal to sibson mutual information of order infinity\, giving the latter
  operational significance\, and study some of its properties.\n
URL:https://www.tcs.tifr.res.in/web/events/906
DTSTART;TZID=Asia/Kolkata:20181005T171500
DTEND;TZID=Asia/Kolkata:20181005T181500
LOCATION:A-201 (STCS Seminar Room)
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