[HGI-news-int] CASA Distinguished Lecture: Wednesday, June 10, 2020, 10.15 am: Battista Biggio (PRA Lab)

[English Newsletter of the Horst Goertz Institute of IT Security in Bochum]

Dear all,

this Wednesday, June 10, 10.15 am: Battista Biggio (PRA Lab, University of Cagliari, Italy) will speak at our CASA Distinguished Lectures series.

Zoom Webinar: https://us02web.zoom.us/j/88453048122


Battista Biggio (PRA Lab, University of Cagliari, Italy):
Wild Patterns: Ten Years after the Rise of Adversarial Machine Learning

Abstract. Data-driven AI and machine-learning technologies have become pervasive, and even able to outperform humans on specific tasks. However, it has been shown that they suffer from hallucinations known as adversarial examples, i.e., imperceptible, adversarial perturbations to images, text and audio that fool these systems into perceiving things that are not there. This has severely questioned their suitability for mission-critical applications, including self-driving cars and autonomous vehicles. This phenomenon is even more evident in the context of cybersecurity domains with a clearer adversarial nature, like malware and spam detection, in which data is purposely manipulated by cybercriminals to undermine the outcome of automatic analyses.

As current data-driven AI and machine-learning methods have not been designed to deal with the intrinsic, adversarial nature of these problems, they exhibit specifc vulnerabilities that attackers can exploit either to mislead learning or to evade detection. Identifying these vulnerabilities and analyzing the impact of the corresponding attacks on learning algorithms has thus been one of the main open issues in the research field of adversarial machine learning, along with the design of more secure and explainable learning algorithms.

In this talk, I review previous work on evasion attacks, where malicious samples are manipulated at test time to evade detection, and poisoning attacks, which can mislead learning by manipulating even only a small fraction of the training data. I discuss some defense mechanisms against both attacks in the context of real-world applications, including computer vision, biometric identity recognition and computer security. Finally, I briefly discuss our ongoing work on attacks against deep-learning algorithms, and sketch some promising future research directions.

Bio. Battista Biggio (MSc ’06, PhD ‘10) is an Assistant Professor at the Department of Electrical and Electronic Engineering at the University of Cagliari, Italy, and a co-founder of Pluribus One, a startup company developing secure AI algorithms for cybersecurity tasks. In 2011, he visited the University of Tuebingen, Germany. His pioneering research on adversarial machine learning involved the development of secure learning algorithms for spam and malware detection, and computer-vision problems, playing a leading role in the establishment and advancement of this research field. On these topics, he has published more than 70 papers, collecting more than 4600 citations (Google Scholar, April 2020).

Dr. Biggio regularly serves as a reviewer and program committee member for several international conferences and journals on the aforementioned research topics (including CVPR, NeurIPS, IEEE Symp. S&P and ACM CCS), co-organizes three well-established workshops (AISec, DLS, S+SSPR) and he is Associate Editor for three high-impact journals (Pattern Recognition, IEEE TNNLS , and IEEE Comp. Intell. Magazine). He is chair of the TC1 on Statistical Pattern Recognition of the IAPR, a senior member of the IEEE and a member of the IAPR and ACM.

This is a public event. You are all invited to be part of that. A registration is not necessary.
Please feel free to forward the invitation.

All information about the Distinguished Lectures, our speakers and the Zoom Webinar links can be found here:
https://casa.rub.de/en/news/distinguished-lectures


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More Distinguished Lectures this summer semester 2020:

Thursday, June 18, 1:30 PM: Andreas Zeller (CISPA Helmholtz Center for Information Security)
Thursday, June 25, 10:30 AM: Mehdi Tibouchi (NTT Secure Platform Laboratories, Tokyo)
Monday, July 6, 2020, 6:00 PM: Franziska Roesner (Paul G. Allen School of Computer Science & Engineering, University of Washington)
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If you would like to be informed about further Distinguished Lectures,  please subscribe to our newsletter [https://casa.rub.de/en/news/distinguished-lectures#c3344] and we will keep you up to date.



Best regards

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CASA Team

RUHR-UNIVERSITÄT BOCHUM
Horst Görtz Institut für IT-Sicherheit (HGI) / Exzellenzcluster CASA
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Universitätsstr. 150
44780 Bochum, Germany
Tel: +49-(0)234-32-27722
E-Mail: info at casa.ruhr-uni-bochum.de
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www.casa.rub.de