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02/21/2023
Conditioning Hierarchical Reinforcement Learning on Flexible Constraints
Safety in goal directed Reinforcement Learning (RL) settings has typical...
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01/28/2023
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary
This work studies Stackelberg network interdiction games – an important ...
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05/31/2022
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees
Distributionally robust optimization (DRO) has shown lot of promise in p...
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04/25/2022
Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach
Vaccine delivery in under-resourced locations with security risks is not...
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02/28/2022
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
The workshop will focus on the application of AI to problems in cyber se...
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02/27/2022
The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games
This paper studies the problem of multi-step manipulative attacks in Sta...
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02/13/2022
Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility
Prior work has successfully incorporated optimization layers as the last...
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01/24/2022
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models
Realistic fine-grained multi-agent simulation of real-world complex syst...
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11/05/2020
Measuring Data Collection Quality for Community Healthcare
Machine learning has tremendous potential to provide targeted interventi...
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06/07/2020
Generating Realistic Stock Market Order Streams
We propose an approach to generate realistic and high-fidelity stock mar...
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02/07/2020
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop 2020
The workshop will focus on the application of artificial intelligence to...
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12/16/2019
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
With the maturing of AI and multiagent systems research, we have a treme...
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11/20/2019
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
Large-scale screening for potential threats with limited resources and c...
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10/17/2018
Adversarial Contract Design for Private Data Commercialization
The proliferation of data collection and machine learning techniques has...
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10/13/2018
Two Can Play That Game: An Adversarial Evaluation of a Cyber-alert Inspection System
Cyber-security is an important societal concern. Cyber-attacks have incr...
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11/11/2017
Practical Scalability for Stackelberg Security Games
Stackelberg Security Games (SSGs) have been adopted widely for modeling ...
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09/13/2017
A Learning and Masking Approach to Secure Learning
Deep Neural Networks (DNNs) have been shown to be vulnerable against adv...
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10/30/2015
Learning Adversary Behavior in Security Games: A PAC Model Perspective
Recent applications of Stackelberg Security Games (SSG), from wildlife c...
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04/23/2015