103 citations · 195 across the 29 of their papers we have counts for
6 papers · 1 filter
Learning Generative Deception Strategies in Combinatorial Masking Games
Junlin Wu, Charles Kamhoua, Murat Kantarcioglu +1
Deception is a crucial tool in the cyberdefence repertoire, enabling defenders to leverage their informational advantage to reduce the likelihood of successful attacks. One way dec…
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions
Juan Shu, Bowei Xi, Charles Kamhoua
Deep neural network (DNN) is a popular model implemented in many systems to handle complex tasks such as image classification, object recognition, natural language processing etc.…
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness
Abhishek N. Kulkarni, Shuo Han, Nandi O. Leslie +2
We consider the probabilistic planning problem where the agent (called Player 1, or P1) can jointly plan the control actions and sensor queries in a sensor network and an attacker…
Foureye: Defensive Deception based on Hypergame Theory Against Advanced Persistent Threats
Zelin Wan, Jin-Hee Cho, Mu Zhu +3
Defensive deception techniques have emerged as a promising proactive defense mechanism to mislead an attacker and thereby achieve attack failure. However, most game-theoretic defen…
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster, Jeremy E. J. Cohen, Zinan Lin +5
Generative adversarial networks (GANs) are often billed as "universal distribution learners", but precisely what distributions they can represent and learn is still an open questio…
Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
Mu Zhu, Ahmed H. Anwar, Zelin Wan +3
Defensive deception is a promising approach for cyber defense. Via defensive deception, the defender can anticipate attacker actions; it can mislead or lure attacker, or hide real…