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DTSTART;TZID=UTC:20221201T150000
DTEND;TZID=UTC:20221201T160000
DTSTAMP:20260612T224617
CREATED:20220803T125345Z
LAST-MODIFIED:20221025T112403Z
UID:5361-1669906800-1669910400@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Dynamic Games for Cyber Deception
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time. For Autumn 2022\, the talks will be on-line or hybrid. All are welcome to attend and we look forward to some lively discussions. Members can accept the invitations\, non-members can email vickid@kth.se to register.\nOur December seminar is with Quanyan Zhu\, Associate Professor of Electrical and Computer Engineering at NYU\, and Director of LARX\, the Laboratory for Agile and Resilient Complex Systems.  This event is jointly organized by TECoSA and Digital Futures\, where Prof Zhu is currently a scholar  in residence. \nVenue:  This session takes place via Zoom (https://kth-se.zoom.us/j/66857695267)\, and on KTH Campus (The Cafeteria\, Digital Futures Hub\, Osquars Backe 5\, floor 2).  If you plan to join in real life\, please email vickid @  kth.se by 28 November (so we can organise fika).   \nABSTRACT:  Deception and anti-deception technologies are new paradigms of active cyber defense. They provide defenders a proactive and autonomous security mechanism by engaging the adversaries and influencing their moves to the defender’s advantage. Game theory captures the strategic and self-interested nature of attackers and defenders in cybersecurity. It provides an ideal set of quantitative tools to develop such a framework to analyze and design deception. In this talk\, we first present a taxonomy of deception and counter-deception and understand how they can be conceptualized\, quantified\, and designed or mitigated. Then\, we present a class of dynamic games of incomplete information to capture the fundamental characteristics of deception and demonstrate the applications of game theory and learning in problems such as attack engagement\, lateral movement\, and information manipulation. The talk will also discuss open problems and research challenges that the game theory community can address and contribute with an objective to build a multidisciplinary bridge between game theory and cybersecurity. \nBIO:  Quanyan Zhu received B. Eng. in Honors Electrical Engineering from McGill University in 2006\, M. A. Sc. from the University of Toronto in 2008\, and Ph.D. from the University of Illinois at Urbana-Champaign (UIUC) in 2013. After stints at Princeton University\, he is currently an associate professor at the Department of Electrical and Computer Engineering\, New York University (NYU). He is an affiliated faculty member of the Center for Urban Science and Progress (CUSP) and Center for Cyber Security (CCS) at NYU. He is a recipient of many awards\, including NSF CAREER Award\, NYU Goddard Junior Faculty Fellowship\, NSERC Postdoctoral Fellowship (PDF)\, NSERC Canada Graduate Scholarship (CGS)\, and Mavis Future Faculty Fellowships. He spearheaded and chaired INFOCOM Workshop on Communications and Control on Smart Energy Systems (CCSES)\, Midwest Workshop on Control and Game Theory (WCGT)\, and ICRA workshop on Security and Privacy of Robotics. His current research interests include game theory\, machine learning\, cyber deception\, network optimization and control\, smart cities\, Internet of Things\, and cyber-physical systems. He has served as the general chair or the TPC chair of the 7th and the 11th Conference on Decision and Game Theory for Security (GameSec) in 2016 and 2020\, the 9th International Conference on NETwork Games\, COntrol and OPtimisation (NETGCOOP) in 2018\, the 5th International Conference on Artificial Intelligence and Security (ICAIS 2019) in 2019\, and 2020 IEEE Workshop on Information Forensics and Security (WIFS). He is a co-author of three recent books published by Springer: Cyber-Security in Critical Infrastructures: A Game-Theoretic Approach (with S. Rass\, S. Schauer\, and S. König)\, A Game- and Decision-Theoretic Approach to Resilient Interdependent Network Analysis and Design (with J. Chen)\, and Cross-Layer Design for Secure and Resilient Cyber-Physical Systems: A Decision and Game Theoretic Approach (with Z. Xu).
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-with-quanyan-zhu-director-of-larx/
CATEGORIES:Talks
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BEGIN:VEVENT
DTSTART;TZID=UTC:20221202T090000
DTEND;TZID=UTC:20221202T130000
DTSTAMP:20260612T224617
CREATED:20220726T113413Z
LAST-MODIFIED:20221006T120345Z
UID:5330-1669971600-1669986000@www.tecosa.center.kth.se
SUMMARY:10th Quarterly Meeting
DESCRIPTION:The 10th Quarterly Meeting takes place on Friday 2 December!  Agenda and details sent by email to all members.
URL:https://www.tecosa.center.kth.se/event/10th-quarterly-meeting/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20221206T133000
DTEND;TZID=Europe/Paris:20221206T160000
DTSTAMP:20260612T224617
CREATED:20221124T092807Z
LAST-MODIFIED:20221129T083236Z
UID:5543-1670333400-1670342400@www.tecosa.center.kth.se
SUMMARY:Situation Awareness for Autonomous Agents Under Limited Sensing
DESCRIPTION:Welcome to the half-time seminar for José Manuel Gaspar Sánchez!  \nAbstract:   Autonomous agents need to understand their environment and predict its future evolution based on the information collected by their sensors\, i.e. they  need situation awareness. This awareness is used to make predictions about the future and plan their own actions accordingly. \nLimited sensor range and occlusions constrain the portion of the environment that can be observed at once. Additionally\, sensors suffer from noise and errors\, which limits the confidence in their measurements. \nThis thesis focuses on improving the situation awareness of autonomous agents by explicitly considering sensor limitations and leveraging information collected over time using knowledge about the possible dynamics of the environment. \nThe main criteria used to evaluate the results from this work are the safety and performance of the autonomous agents\, and the computational complexity of the algorithms. \nJosé Manuel Gaspar Sánchez\nRespondent: José Manuel Gaspar Sánchez\nDiscussion leader:  Professor Emilio Frazzoli\, ETH and MIT\nSupervisors: Martin Törngren and Jana Tumova\nTime: 13:30 – 16.00\, Tuesday 6 December 2022\nPlace: In real life at KTH (E32\, Lindstedtsvägen 3) and via Zoom \nHalf-time seminar material: \n\nHalf-time thesis overall summary\nPublication 1\nPublication 2
URL:https://www.tecosa.center.kth.se/event/situation-awareness-for-autonomous-agents-under-limited-sensing/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20221208T180000
DTEND;TZID=UTC:20221208T203000
DTSTAMP:20260612T224617
CREATED:20221115T111243Z
LAST-MODIFIED:20221115T111309Z
UID:5528-1670522400-1670531400@www.tecosa.center.kth.se
SUMMARY:Trustworthy Edge Computing Workshop at SEC 2022
DESCRIPTION:Join us on Thursday 8 December (local time 9.00-12.30 / Stockholm kl.18.00-20.30) when TECoSA holds a half-day workshop as part of the  7th ACM/IEEE Symposium on Edge Computing taking place in Seattle\, WA from 5-8 December 2022. \nThis will be the second TEC Workshop! Click here for the Programme and Description \n\nTo register\, please go to: https://acm-ieee-sec.org/2022/attend.php\n(Early registration deadline: 15 Nov 2022)
URL:https://www.tecosa.center.kth.se/event/trustworthy-edge-computing-workshop-at-sec-2022/
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