A Stackelberg Game Perspective on the Conflict Between Machine Learning and Data Obfuscation

21 June 2016

Papers citing "A Stackelberg Game Perspective on the Conflict Between Machine Learning and Data Obfuscation"

13 / 13 papers shown

Title
Revisiting Game-Theoretic Control in Socio-Technical Networks: Emerging Design Frameworks and Contemporary Applications Quanyan Zhu Tamer Basar 36 0 0 04 Nov 2024
Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories Quanyan Zhu AI4CE 37 3 0 01 Apr 2024
Cybersecurity in Robotics: Challenges, Quantitative Modeling, and Practice Quanyan Zhu Stefan Rass Bernhard Dieber Víctor Mayoral-Vilches 19 21 0 09 Mar 2021
Strategic Learning for Active, Adaptive, and Autonomous Cyber Defense Linan Huang Quanyan Zhu AAML 24 10 0 01 Jul 2019
Adaptive Honeypot Engagement through Reinforcement Learning of Semi-Markov Decision Processes Linan Huang Quanyan Zhu AAML 17 46 0 27 Jun 2019
Game Theory for Cyber Deception: A Tutorial Quanyan Zhu 19 19 0 03 Mar 2019
Game-Theoretic Analysis of Cyber Deception: Evidence-Based Strategies and Dynamic Risk Mitigation Zhang Tao Linan Huang J. Pawlick Quanyan Zhu 11 15 0 08 Feb 2019
Cyber Insurance Quanyan Zhu AAML 18 11 0 30 Sep 2018
Game Theory Meets Network Security: A Tutorial at ACM CCS Quanyan Zhu Stefan Rass AAML 11 32 0 24 Aug 2018
Modeling and Analysis of Leaky Deception using Signaling Games with Evidence J. Pawlick Edward Colbert Quanyan Zhu 14 67 0 18 Apr 2018
A Game-Theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacy J. Pawlick Edward Colbert Quanyan Zhu AAML 30 147 0 14 Dec 2017
Together or Alone: The Price of Privacy in Collaborative Learning Balázs Pejó Qiang Tang G. Biczók FedML 21 16 0 01 Dec 2017
A Mean-Field Stackelberg Game Approach for Obfuscation Adoption in Empirical Risk Minimization J. Pawlick Quanyan Zhu 20 19 0 08 Jun 2017