A Learning and Masking Approach to Secure Learning
L Nguyen, S Wang, and A Sinha
Ninth Conference on Decision and Game Theory for Security, October 2018.
Abstract
Deep Neural Networks (DNNs) have been shown to be vulnerable against adversarial examples, which are data points cleverly constructed…
Stackelberg Security Games: Looking Beyond a Decade of Success
A Sinha, F Fang, B An, C Kiekintveld, and M Tambe
27th International Joint Conference on Artificial Intelligence, July 2018.
Abstract
The Stackelberg Security Game (SSG) model has been immensely influential in security research since it…
A Cloaking Mechanism to Mitigate Market Manipulation
X Wang, Y Vorobeychik, and MP Wellman
27th International Joint Conference on Artificial Intelligence, pages 541–547, July 2018.
Abstract
We propose a cloaking mechanism to deter spoofing, a form of manipulation in financial markets. The…
Incentivizing rider time-shift in a multi-leg public transportation system
M Shearer and MP Wellman
10th International Workshop on Agents in Traffic and Transportation, July 2018.
Abstract
We develop an incentive scheme for a hub-to-shuttle campus transit system, encouraging riders to shift travel times to improve…
Evaluating the stability of non-adaptive trading in continuous double auctions
M Wright and MP Wellman
17th International Conference on Autonomous Agents and Multiagent Systems, pages 614–622, July 2018.
Abstract
The continuous double auction (CDA) is the predominant mechanism in modern securities markets. Many agent-based…
A regression approach for modeling games with many symmetric players
B Wiedenbeck, F Yang, and MP Wellman
32nd AAAI Conference on Artificial Intelligence, pages 1266–1273, Feb 2018.
Abstract
We exploit player symmetry to formulate the representation of large normal-form games as a regression task. This formulation…
Multi-stage attack graph security games: Heuristic strategies, with empirical game-theoretic analysis
TH Nguyen, M Wright, MP Wellman, and S Singh
Security and Communication Networks, Article ID 2864873, 28 pages, 2018.
Extended version of a paper presented at the Fourth ACM Workshop on Moving Target Defense, Oct 2017.
Abstract
We study…
SoK: Security and Privacy in Machine Learning
N Papernot, P McDaniel, A Sinha, and MP Wellman
Third IEEE European Symposium on Security and Privacy, April 2018.
Abstract
Advances in machine learning (ML) in recent years have enabled a dizzying array of applications such as data analytics,…
