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DTSTART:20180325T010000
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DTSTART:20181028T010000
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DTSTART:20190331T010000
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DTSTART:20191027T010000
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DTSTART:20200329T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190801T100000
DTEND;TZID=Europe/Bucharest:20190801T233000
DTSTAMP:20260426T213140
CREATED:20190729T061912Z
LAST-MODIFIED:20190729T061912Z
UID:435-1564653600-1564702200@sal.cs.unibuc.ro
SUMMARY:Anomaly Detection Reading Group: Deep RPCA
DESCRIPTION:Speaker:  Andrei Pătrașcu (University of Bucharest) \n\nAbstract: We continue our adventure by investigating existing results with Robust Principal Component Analysis (RPCA) and its adaptation to existing deep neural networks. \nRequired reading: \nZHOU\, Chong; PAFFENROTH\, Randy C. Anomaly detection with robust deep autoencoders. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM\, 2017. p. 665-674. \nCANDÈS\, Emmanuel J.\, et al. Robust principal component analysis?. Journal of the ACM (JACM)\, 2011\, 58.3: 11.
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-deep-rpca/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190808T100000
DTEND;TZID=Europe/Bucharest:20190808T233000
DTSTAMP:20260426T213140
CREATED:20190805T174148Z
LAST-MODIFIED:20190805T174714Z
UID:437-1565258400-1565307000@sal.cs.unibuc.ro
SUMMARY:Anomaly Detection Reading Group: Graph Classification
DESCRIPTION:Speaker:  Andra Băltoiu (University of Bucharest) \n\nAbstract: We continue our investigation on the task of detecting outliers in networks\, by looking at the concept of signal variation on a graph. \nRequired reading: \nA. Sandryhaila and J. M. F. Moura\, “Classification via regularization on graphs\,” 2013 IEEE Global Conference on Signal and Information Processing\, Austin\, TX\, 2013\, pp. 495-498. \nS. Chen\, A. Sandryhaila\, J. M. F. Moura and J. Kovačević\, “Signal Recovery on Graphs: Variation Minimization\,” in IEEE Transactions on Signal Processing\, vol. 63\, no. 17\, pp. 4609-4624\, Sept.1\, 2015.
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-graph-classification/
LOCATION:Facultatea de Matematica si Informatica\, sala Google
CATEGORIES:Security Seminar,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20190821T100000
DTEND;TZID=UTC:20190821T233000
DTSTAMP:20260426T213140
CREATED:20190819T095240Z
LAST-MODIFIED:20190819T095240Z
UID:439-1566381600-1566430200@sal.cs.unibuc.ro
SUMMARY:Anomaly Detection Reading Group: Distributed Online AD
DESCRIPTION:Speaker: Paul Irofti (University of Bucharest) \n\nAbstract: We continue our investigation on the task of detecting outliers in networks when dealing with big-data and investigate existing online and distributed solutions. \nRequired reading: \nMiao\, Xuedan\, et al. “Distributed online one-class support vector machine for anomaly detection over networks.” IEEE transactions on cybernetics 49.4 (2018): 1475-1488. \nLiu\, Zhaoting\, Ying Liu\, and Chunguang Li. “Distributed sparse recursive least-squares over networks.” IEEE Transactions on Signal Processing 62.6 (2014): 1386-1395.
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-distributed-online-ad/
LOCATION:Facultatea de Matematica si Informatica\, sala Google
CATEGORIES:Security Seminar,Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Bucharest:20190830T100000
DTEND;TZID=Europe/Bucharest:20190830T233000
DTSTAMP:20260426T213140
CREATED:20190827T051705Z
LAST-MODIFIED:20190827T053239Z
UID:441-1567159200-1567207800@sal.cs.unibuc.ro
SUMMARY:Anomaly Detection Reading Group: Gaussian Mixture Models
DESCRIPTION:Speaker: Andrei Pătrașcu (University of Bucharest) \n\nAbstract: We continue our adventure by investigating existing results using Gaussian Mixture Models (GMM) for anomaly detection and their adaptation to existing deep neural networks. \nRequired reading: \nZong\, Bo\, et al. “Deep autoencoding gaussian mixture model for unsupervised anomaly detection.” (2018). \nChapter 11 from Deisenroth\, Marc Peter\, A. Aldo Faisal\, and Cheng Soon Ong. “Mathematics for Machine Learning.” (2018).
URL:https://sal.cs.unibuc.ro/event/anomaly-detection-reading-group-gaussian-mixture-models/
LOCATION:Facultatea de Matematica si Informatica\, sala 202
CATEGORIES:Security Seminar,Seminar
END:VEVENT
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