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PRODID:-//SECURITY & APPLIED LOGIC - ECPv6.15.9//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://sal.cs.unibuc.ro
X-WR-CALDESC:Events for SECURITY & APPLIED LOGIC
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X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20190418T083000
DTEND;TZID=UTC:20190418T100000
DTSTAMP:20260404T140806
CREATED:20190321T112305Z
LAST-MODIFIED:20190415T085625Z
UID:389-1555576200-1555581600@sal.cs.unibuc.ro
SUMMARY:Anti-Malware Machine Learning
DESCRIPTION:Speaker:  Andra Băltoiu (University of Bucharest) \n\nAbstract: In a previous seminar\, we introduced Dictionary Learning (DL)\, a machine learning method capable of handling the requirements of IoT-related tasks\, motivated by its reduced computational complexity\, theoretical guarantees and its applicability to continuous retraining contexts. We now discuss the task of training different machine learning and DL models in order to identify malware and study the adaptability of the resulting models to new types of malware.
URL:https://sal.cs.unibuc.ro/event/anti-malware-machine-learning/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
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