CyberSec & AI Prague

International Conference on Cybersecurity and AI

How continual and rapid advances in artificial intelligence are transforming the ways cybersecurity experts protect us online.

25th October 2019 - Prague, Czech Republic

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The quintessential conference for AI and cybersecurity professionals

CyberSec & AI Prague puts you at the heart of the sector’s latest research, trends and developments. Attendees will gain direct access to expert insights, predictions and best practices from professionals and academics at the forefront of AI, machine learning and cybersecurity.

How cybersecurity and AI will shape our future

CyberSec & AI Prague examines how continual and rapid advances in AI are transforming the ways cybersecurity experts protect us online. ​Avast ​and CTU (Czech Technical University) bring together the best minds in the industry as they share their vision for what the future holds and debate the possibilities of tomorrow’s digital landscape. Join us, and stay ahead in our changing world.

Logo CTULogo - Avast

Why attend?

For Academics:

  • Learn about the latest advancements in AI for cybersecurity
  • Discover the key research topics the top minds in academia are working on
  • Gain insight into real-world cybersecurity challenges that require attention from the research community 

For Professionals:

  • Learn about the latest advancements in AI and their potential application in cybersecurity
  • Get an early glimpse of the techniques being developed in research today that will form the basis of tomorrow’s cyberattacks (e.g Adversarial AI)
  • Understand critical defensive techniques being developed in academia that should be adopted by the cybersecurity industry

Speakers

A roster of thought leaders from industry and academia have joined CyberSec & AI Prague, with a full program of talks from top researchers and practitioners who work at the intersection of AI and cybersecurity.

8:00
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9:00
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08:00 - Registration and breakfast

Registration and breakfast

Sign in to CyberSec & AI Prague and join fellow delegates for introductory networking.

8:00
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9:00
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08:00 - Registration and breakfast

Registration and breakfast

Sign in to CyberSec & AI Prague and join fellow delegates for introductory networking.

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9:30
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10:00
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09:30 - Alex Halderman

Securing Digital Democracies: Protecting the security and privacy of digital elections around the world

9:30
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10:00
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09:30 - Alex Halderman

Securing Digital Democracies: Protecting the security and privacy of digital elections around the world

Alex Halderman

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Professor

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University of Michigan

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USA

10:00
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10:30
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10:00 - Zakir Durumeric

Mirai and the Current State of IoT Security

The Mirai botnet, composed primarily of embedded and IoT devices, took the Internet by storm in late 2016 when it overwhelmed and censored high-profile websites with the largest distributed denial-of-service (DDoS) attacks on public record.

10:00
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10:30
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10:00 - Zakir Durumeric

Mirai and the Current State of IoT Security

The Mirai botnet, composed primarily of embedded and IoT devices, took the Internet by storm in late 2016 when it overwhelmed and censored high-profile websites with the largest distributed denial-of-service (DDoS) attacks on public record.

Zakir Durumeric

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Assistant Professor

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Stanford University

,

USA

11:00
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11:30
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11:00 - Break / Poster session

Break / Poster session

Refreshments and a chance to meet fellow delegates.

11:00
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11:30
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11:00 - Break / Poster session

Break / Poster session

Refreshments and a chance to meet fellow delegates.

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11:30
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12:00
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11:30 - Doug Tygar

Historical survey of Adversarial AI, especially for security and privacy

11:30
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12:00
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11:30 - Doug Tygar

Historical survey of Adversarial AI, especially for security and privacy

Doug Tygar

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Professor

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UC Berkeley

,

USA

13:00
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14:00
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13:00 - Lunch

Lunch

Enjoy lunch and discuss the morning’s topics with speakers and co-delegates.

13:00
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14:00
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13:00 - Lunch

Lunch

Enjoy lunch and discuss the morning’s topics with speakers and co-delegates.

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14:00
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14:15
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14:00 - Rajarshi Gupta

Security is an unique challenge for AI, and deserves stronger research focus

14:00
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14:15
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14:00 - Rajarshi Gupta

Security is an unique challenge for AI, and deserves stronger research focus

Rajarshi Gupta

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VP, Head of AI

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Avast

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USA

14:15
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14:30
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14:15 - Maria Rigaki

Forget me not: malware classification as a continual learning problem

Maria Rigaki - PhD student, CTU, Czech Republic

14:15
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14:30
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14:15 - Maria Rigaki

Forget me not: malware classification as a continual learning problem

Maria Rigaki

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PhD Student

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Czech Technical University in Prague

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Czech Republic

14:30
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14:45
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14:30 - Jan Bim

Identification of attack vectors from behavioral graphs

We obtain very specific data, namely behavioral graphs that record extensive information about a run of a system. In the current project we aim at both classification of anomalous nodes and identification of an attack vector that lead to their appearance in the graph and thus to execution of anomalous behavior in the system.

Jan Bim - PhD researcher, CTU, Czech Republic

14:30
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14:45
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14:30 - Jan Bim

Identification of attack vectors from behavioral graphs

We obtain very specific data, namely behavioral graphs that record extensive information about a run of a system. In the current project we aim at both classification of anomalous nodes and identification of an attack vector that lead to their appearance in the graph and thus to execution of anomalous behavior in the system.

Jan Bim

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PhD Researcher

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Czech Technical University in Prague

,

Czech Republic

14:45
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15:00
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14:45 - Karel Durkota

Not All Anomalies Are Equal: Game-Theoretic Approach to Adversarial Anomaly Detection

Anomaly detection is commonly used for detecting malicious behavior, such as attacks in computer networks or fraud in financial operations. In these settings, criminals have clear incentives to maximize the effectiveness of their behavior, while minimizing the probability of detection.

Karel Durkota - Researcher, CTU, Czech Republic

14:45
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15:00
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14:45 - Karel Durkota

Not All Anomalies Are Equal: Game-Theoretic Approach to Adversarial Anomaly Detection

Anomaly detection is commonly used for detecting malicious behavior, such as attacks in computer networks or fraud in financial operations. In these settings, criminals have clear incentives to maximize the effectiveness of their behavior, while minimizing the probability of detection.

Karel Durkota

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Researcher

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Czech Technical University in Prague

,

Czech Republic

15:00
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15:30
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15:00 - Break / Poster session

Break / Poster session

Refreshments and networking.

15:00
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15:30
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15:00 - Break / Poster session

Break / Poster session

Refreshments and networking.

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,

15:30
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16:00
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15:30 - Battista Bigio

Machine Learning Security: Adversarial Attacks and Defenses

It has been shown that data-driven AI and machine learning 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.

15:30
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16:00
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15:30 - Battista Bigio

Machine Learning Security: Adversarial Attacks and Defenses

It has been shown that data-driven AI and machine learning 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.

Battista Biggio

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Assistant Professor

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University of Cagliari

,

Italy

16:00
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16:30
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16:00 - Nicolas Papernot

A Marauder's Map of Security and Privacy in Machine Learning

There is growing recognition that machine learning (ML) exposes new security and privacy vulnerabilities in software systems, yet the technical community's understanding of the nature and extent of these vulnerabilities remains limited but expanding.

16:00
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16:30
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16:00 - Nicolas Papernot

A Marauder's Map of Security and Privacy in Machine Learning

There is growing recognition that machine learning (ML) exposes new security and privacy vulnerabilities in software systems, yet the technical community's understanding of the nature and extent of these vulnerabilities remains limited but expanding.

Nicolas Papernot

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Assistant Professor and Canada CIFAR AI Chair

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University of Toronto and Vector Institute

,

Canada

16:30
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17:00
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16:30 - Christopher Kiekintveld

Challenges and Opportunities in AI for Cyber Security and Cyber Deception

The rapid advancement of artificial intelligence methods is having a profound impact on cybersecurity, and we can expect this trend to continue. The ability to process massive amounts of data to identify patterns and trends, and to make very complex automated decisions faster than any human can respond is becoming key to both attack and defense tactics.

16:30
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17:00
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16:30 - Christopher Kiekintveld

Challenges and Opportunities in AI for Cyber Security and Cyber Deception

The rapid advancement of artificial intelligence methods is having a profound impact on cybersecurity, and we can expect this trend to continue. The ability to process massive amounts of data to identify patterns and trends, and to make very complex automated decisions faster than any human can respond is becoming key to both attack and defense tactics.

Christopher Kiekintveld

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Associate Professor

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University of Texas at El Paso

,

USA

17:00
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17:30
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17:00 - Break / Poster session

Break / Poster session

Refreshments and networking.

17:00
-
17:30
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17:00 - Break / Poster session

Break / Poster session

Refreshments and networking.

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,

,

17:30
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18:20
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17:30 - Panel Discussion

Panel Discussion

AI used for both good and evil in security and privacy.

17:30
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18:20
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17:30 - Panel Discussion

Panel Discussion

AI used for both good and evil in security and privacy.

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,

18:20
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18:30
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18:20 - Closing ceremony

Closing ceremony

Final presentations and closing comments.

18:20
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18:30
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18:20 - Closing ceremony

Closing ceremony

Final presentations and closing comments.

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18:30
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21:00
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18:30 - Post event party

Post event party

Unwind, relax and reflect on the themes, topics and talking points of CyberSec & AI Prague.

18:30
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21:00
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18:30 - Post event party

Post event party

Unwind, relax and reflect on the themes, topics and talking points of CyberSec & AI Prague.

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Explore the full Agenda

An Open Call for Students and Researchers

CyberSec & AI Prague will host a poster session, where PhD students and researchers can present their research topics and achievements.

Topics

  • New advancements in adversarial AI within security domains
  • Security as a unique challenge for AI
  • Use of AI in consumer security (PCs, Mobiles, IoT)
  • Security of AI: Model training and evaluation techniques for maximum protection

Deadlines

  • Poster submission: August 18th, 2019
  • Announcement of successful applicants: September 8th, 2019
  • Final poster submission (accepted papers only): September 30th, 2019

Would you like to submit your project? Send it to poster@cybersecprague.ai

Instructions for authors

About Prague and the Venue

About Prague

Situated in the heart of Europe, Prague’s unique blend of history, culture and architecture make it one of the world’s most beloved travel destinations. Capital of the Czech Republic, the ‘City of a Hundred Spires’ has been recognised by UNESCO as a World Heritage Site.
Prague has a rich tradition as a place of scientific discovery, which continues in the present day through a vibrant science and technology scene - making the city the perfect location for CyberSec & AI.

About Prague

About the venue

DOX Centre for Contemporary Art is a multi-functional centre created as a space for research, presentation, and debate on important social issues, where visual arts, literature, performing arts, and other disciplines encourage a critical view of the so-called reality of today’s world.

DOX, Poupetova 1, Praha 7

www.dox.cz+420 295 568 123
About the Venue

Tickets

Until August 31th

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Regular ticket

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Until October 24th

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Contact us

If you have any queries about CyberSec & AI Prague, please drop us a line here.

Contact us

Cybersec and AI Prague will bring together a roster of thought leaders from both industry and academia.

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