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May 2019

Dynamic Code Analysis

May 30, 2019 @ 5:00 pm - 6:00 pm

Speaker:  Radu Velea (BitDefender) Abstract: Static code analysis methods have the advantage of providing deterministic and reliable results. Malware has evolved beyond the point where simple pattern matching algorithms or signatures can provide adequate levels of protection. To respond to new threats we have to look at other hidden aspects such as execution behavior and fight evasive techniques by performing dynamic code analysis. This presentation discusses how to do this using runtime emulation and describes the existing challenges for the…

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July 2019

Anomaly Detection Reading Group: Deep OC-SVM

July 25, 2019 @ 10:00 am - 11:30 pm
Facultatea de Matematica si Informatica, sala 202

Speaker: Andrei Pătrașcu (University of Bucharest) Abstract: Recent empirical results confirm that one-class (OC) classification methods remain among the most important learning strategies for anomaly detection. In this seminar, we will technically describe in detail multiple basic OC schemes such as OC-SVM and SVDD and their deep variants, in order to identify room of improvements or generalization directions towards the graph anomaly detection context.

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August 2019

Anomaly Detection Reading Group: Deep RPCA

August 1, 2019 @ 10:00 am - 11:30 pm
Facultatea de Matematica si Informatica, sala 202

Speaker: Andrei Pătrașcu (University of Bucharest) Abstract: We continue our adventure by investigating existing results with Robust Principal Component Analysis (RPCA) and its adaptation to existing deep neural networks. Required reading: ZHOU, 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. CANDÈS, Emmanuel J., et al. Robust principal component analysis?. Journal of the ACM (JACM), 2011, 58.3: 11.

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Anomaly Detection Reading Group: Graph Classification

August 8, 2019 @ 10:00 am - 11:30 pm
Facultatea de Matematica si Informatica, sala Google

Speaker: Andra Băltoiu (University of Bucharest) Abstract: We continue our investigation on the task of detecting outliers in networks, by looking at the concept of signal variation on a graph. Required reading: A. 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. S. Chen, A. Sandryhaila, J. M. F. Moura and J. Kovačević, "Signal Recovery on Graphs: Variation Minimization," in IEEE Transactions on Signal…

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Anomaly Detection Reading Group: Distributed Online AD

August 21, 2019 @ 10:00 am - 11:30 pm
Facultatea de Matematica si Informatica, sala Google

Speaker: Paul Irofti (University of Bucharest) Abstract: We continue our investigation on the task of detecting outliers in networks when dealing with big-data and investigate existing online and distributed solutions. Required reading: Miao, Xuedan, et al. "Distributed online one-class support vector machine for anomaly detection over networks." IEEE transactions on cybernetics 49.4 (2018): 1475-1488. Liu, Zhaoting, Ying Liu, and Chunguang Li. "Distributed sparse recursive least-squares over networks." IEEE Transactions on Signal Processing 62.6 (2014): 1386-1395.

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Anomaly Detection Reading Group: Gaussian Mixture Models

August 30, 2019 @ 10:00 am - 11:30 pm
Facultatea de Matematica si Informatica, sala 202

Speaker: Andrei Pătrașcu (University of Bucharest) Abstract: We continue our adventure by investigating existing results using Gaussian Mixture Models (GMM) for anomaly detection and their adaptation to existing deep neural networks. Required reading: Zong, Bo, et al. "Deep autoencoding gaussian mixture model for unsupervised anomaly detection." (2018). Chapter 11 from Deisenroth, Marc Peter, A. Aldo Faisal, and Cheng Soon Ong. "Mathematics for Machine Learning." (2018).

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September 2019

Optimal Transport for (Unsupervised) Machine Learning

September 20, 2019 @ 10:00 am - 11:30 pm
Facultatea de Matematica si Informatica, sala Google

Speaker: Andra Băltoiu (University of Bucharest) Abstract: After attending the "Summer School on Applied Harmonic Analysis and Machine Learning" in Genova,  Andra will give us a short introduction on Optimal Transport in the attempt of finding new prospects for the anomaly detection problem.

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November 2019

Anomaly Detection Reading Group: Anomaly Detection by Unmasking

November 21, 2019 @ 8:30 am - 10:00 am
Facultatea de Matematica si Informatica, sala Google

Speaker: Marius Popescu (University of Bucharest) Abstract: We continue our adventure by investigating existing natural language processing results that deal with unmasking authorship and their application to anomaly detection. Required reading: M. Koppel, J. Schler, and E. Bonchek-Dokow. Measuring Differentiability: Unmasking Pseudonymous Authors. Journal of Machine Learning Research, 8:1261–1276,  2007. T.R. Ionescu, S. Smeureanu, B. Alexe,  and M. Popescu. Unmasking the abnormal events in video. In Proceedings of the IEEE International Conference on Computer Vision (pp. 2895-2903), 2017.

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December 2019

Executarea, detecţia și prevenţia atacurilor de tip R.O.P

December 12, 2019 @ 8:30 am - 11:00 am
Facultatea de Matematica si Informatica, sala Google

Speaker: Sorin-Gabriel Radu (University of Bucharest) Abstract: Va fi prezentată o versiune extinsă a lucrări de licență ce va prezenta concepte de Return Orientated Programming, o tehnică de reciclare și combinare a bucăților de cod existent, curat, astfel încât cod nou, nedorit, în general de tip malware, să fie executat.

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January 2020

Challenges in Banking

January 30 @ 8:30 am - 10:00 am
Facultatea de Matematica si Informatica, sala Google

Speaker: Horia Velicu (BRD - Groupe Societe Generale) Abstract: Presentation of topics of interest for 2020, objectives and data available at BRD. Proposals for the themes for the applied research institute that will be sponsored this year. Presentation of the new BRD AI Hub.

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