BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20210507T093748Z
DTSTART:20210519T130000Z
DTEND:20210519T140000Z
SUMMARY:Privacy models for machine learning and statistics
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}f1o-koe4kou
 u-bvqepv
DESCRIPTION:Please join us for the following talk in Computer Science (on
 line)\n\nJoining details:  https://zoom.us/j/91710725386\n\nAbstract:\nD
 ata privacy studies how to take advantage of data without disclosure of 
 sensitive information. Privacy models\, computational definitions of pri
 vacy\, permit us to establish when data and models are considered safe w
 ith respect to disclosure. Data protection mechanisms are defined to be 
 compliant with privacy models\, and to achieve a good trade-off between 
 disclosure risk and data utility. In this talk\, I will give a brief sum
 mary of privacy models and introduce our research in this context. Some 
 of our research focuses on masking methods for databases. That is\, meth
 ods to be applied to data prior to their use for data analysis. Masking 
 methods modify databases to avoid disclosure and trying to keep data uti
 lity. A good masking method is one that achieves a good trade-off betwee
 n disclosure risk and data utility. Other research focuses on methods to
  avoid disclosure from analysis from a database. For example\, avoiding 
 disclosure from a data-driven machine learning model.\n\n\nShort bio:\nV
 icenç Torra is currently a WASP professor on AI at Umeå University (Swed
 en). He is an IEEE and EurAI Fellow. His fields of interests include dat
 a privacy\, approximate reasoning (fuzzy sets\, fuzzy measures/non-addit
 ive measures and integrals) and decision making. He has written seven bo
 oks\, including "Modeling decisions" (with Y. Narukawa\, Springer\, 2007
 )\, "Data Privacy" (Springer\, 2017). He is the founder and editor of th
 e Transactions on Data Privacy. \n\nHis web page is: http://www.mdai.cat
 /vtorra.\n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:https://zoom.us/j/91710725386
END:VEVENT
END:VCALENDAR