Max-Planck-Institut für Informatik
max planck institut
mpii logo Minerva of the Max Planck Society

MPI-INF or MPI-SWS or Local Campus Event Calendar

<< Previous Entry Next Entry >> New Event Entry Edit this Entry Login to DB (to update, delete)
What and Who
Title:What's in a Game? An intelligent and adaptive approach to security
Speaker:Arunesh Sinha
coming from:University of Southern California
Speakers Bio:
Event Type:SWS Colloquium
Visibility:SWS, RG1, MMCI
We use this to send out email in the morning.
Level:Expert Audience
Date, Time and Location
Date:Wednesday, 23 March 2016
Duration:90 Minutes
Understanding the complex defender-adversary interaction in any adversarial interaction allows for the design of intelligent and adaptive defense.  Game theory is a natural model for such multi-agent interaction. However, significant challenges need to be overcome in order to apply game theory in practice. In this talk, I will present my work on addressing two such challenges: scalability and learning adversary behavior. First, I will present a game model of screening of passengers at airports and a novel optimization approach based on randomized allocation and disjunctive programming techniques to solve large instances of the problem. Next, I will present an approach that learns adversary behavior and then plans optimal defensive actions, thereby bypassing standard game-theoretic assumptions such as rationality. However, a formal Probably Approximately Correct (PAC) model analysis of the learning module in such an approach reveals possible conditions under which learning followed by optimization can produce sub-optimal results. This emphasizes the need of formal compositional reasoning when using learning in large systems. 

The airport screening work was done in collaboration with the Transport Security Administration in USA. The approach of learning adversary behavior was applied for predictive policing in collaboration with University of Southern California (USC) police, and is being tested on the USC campus.

Name(s):Claudia Richter
Phone:9303 9103
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:YesTo Location:Saarbrücken
To Building:E1 5To Room:029
Tags, Category, Keywords and additional notes
Attachments, File(s):

Created:Claudia Richter/MPI-SWS, 03/16/2016 10:47 AM Last modified:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Uwe Brahm, 03/17/2016 03:13 PM
  • Claudia Richter, 03/16/2016 10:51 AM -- Created document.