Arunesh Sinha | DeepAI

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∙ 02/21/2023

Conditioning Hierarchical Reinforcement Learning on Flexible Constraints

Safety in goal directed Reinforcement Learning (RL) settings has typical...

0 Yuxiao Lu, et al. ∙

∙ 01/28/2023

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary

This work studies Stackelberg network interdiction games – an important ...

0 Tien Mai, et al. ∙

∙ 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...

5 Avinandan Bose, et al. ∙

∙ 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...

0 Tien Mai, et al. ∙

∙ 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...

0 James Holt, et al. ∙

∙ 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...

0 Thanh H. Nguyen, et al. ∙

∙ 02/13/2022

Beyond NaN: Resiliency of Optimization Layers in The Face of Infeasibility

Prior work has successfully incorporated optimization layers as the last...

0 Wai Tuck Wong, et al. ∙

∙ 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...

3 Changyu Chen, et al. ∙

∙ 11/05/2020

Measuring Data Collection Quality for Community Healthcare

Machine learning has tremendous potential to provide targeted interventi...

29 Ramesha Karunasena, et al. ∙

∙ 06/07/2020

Generating Realistic Stock Market Order Streams

We propose an approach to generate realistic and high-fidelity stock mar...

0 Junyi Li, et al. ∙

∙ 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...

0 Dennis Ross, et al. ∙

∙ 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...

0 Andrew Perrault, et al. ∙

∙ 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...

7 Sanket Shah, et al. ∙

∙ 10/17/2018

Adversarial Contract Design for Private Data Commercialization

The proliferation of data collection and machine learning techniques has...

0 Parinaz Naghizadeh, et al. ∙

∙ 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...

0 Ankit Shah, et al. ∙

∙ 11/11/2017

Practical Scalability for Stackelberg Security Games

Stackelberg Security Games (SSGs) have been adopted widely for modeling ...

0 Arunesh Sinha, et al. ∙

∙ 09/13/2017

A Learning and Masking Approach to Secure Learning

Deep Neural Networks (DNNs) have been shown to be vulnerable against adv...

0 Linh Nguyen, et al. ∙

∙ 10/30/2015

Learning Adversary Behavior in Security Games: A PAC Model Perspective

Recent applications of Stackelberg Security Games (SSG), from wildlife c...

0 Arunesh Sinha, et al. ∙

∙ 04/23/2015

Security Games with Information Leakage: Modeling and Computation

Most models of Stackelberg security games assume that the attacker only ...

0 Haifeng Xu, et al. ∙

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