Game-Theoretic and Machine Learning-based Approaches for Defensive Deception: A Survey
Authors: Mu Zhu, Ahmed H. Anwar, Zelin Wan, Jin-Hee Cho, Charles Kamhoua, Munindar P. Singh | Published: 2021-01-21 | Updated: 2021-05-08
Game Theory
Anomaly detection with superexperts under delayed feedback
Authors: Raisa Dzhamtyrova, Carsten Maple | Published: 2020-10-08 | Updated: 2021-04-22
A Generative Machine Learning Approach to Policy Optimization in Pursuit-Evasion Games
Authors: Shiva Navabi, Osonde A. Osoba | Published: 2020-10-04 | Updated: 2020-10-13
Information Obfuscation of Graph Neural Networks
Authors: Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka, Ruslan Salakhutdinov | Published: 2020-09-28 | Updated: 2021-06-13
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
Authors: Kim Hammar, Rolf Stadler | Published: 2020-09-17 | Updated: 2020-10-04
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses
Authors: Ambar Pal, René Vidal | Published: 2020-09-14 | Updated: 2020-11-11
Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses
Authors: Shiliang Zuo | Published: 2020-08-21 | Updated: 2024-03-14
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Authors: Tianqing Zhu, Dayong Ye, Wei Wang, Wanlei Zhou, Philip S. Yu | Published: 2020-08-05
Private Post-GAN Boosting
Authors: Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork | Published: 2020-07-23 | Updated: 2021-03-25
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM
Authors: Rui Zhang, Quanyan Zhu | Published: 2020-03-08 | Updated: 2020-04-26