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08/30/2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
Machine learning models that use deep neural networks (DNNs) are vulnera...
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04/04/2023
Risk-Aware Distributed Multi-Agent Reinforcement Learning
Autonomous cyber and cyber-physical systems need to perform decision-mak...
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12/03/2022
LDL: A Defense for Label-Based Membership Inference Attacks
The data used to train deep neural network (DNN) models in applications ...
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07/13/2022
Game of Trojans: A Submodular Byzantine Approach
Machine learning models in the wild have been shown to be vulnerable to ...
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03/29/2021
Reinforcement Learning Beyond Expectation
The inputs and preferences of human users are important considerations i...
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03/29/2021
Scalable Planning in Multi-Agent MDPs
Multi-agent Markov Decision Processes (MMDPs) arise in a variety of appl...
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07/27/2020
Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries
A cyber-physical system (CPS) is expected to be resilient to more than o...
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07/22/2020
Secure Control in Partially Observable Environments to Satisfy LTL Specifications
This paper studies the synthesis of control policies for an agent that h...
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10/27/2019
Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates
This paper studies the satisfaction of a class of temporal properties fo...
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06/04/2019
A Differentially Private Incentive Design for Traffic Offload to Public Transportation
Increasingly large trip demands have strained urban transportation capac...
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08/31/2018