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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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03/25/2022
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning
Machine learning (ML) models that use deep neural networks are vulnerabl...
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03/18/2022
Privacy-Preserving Reinforcement Learning Beyond Expectation
Cyber and cyber-physical systems equipped with machine learning algorith...
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02/19/2022
Shaping Advice in Deep Reinforcement Learning
Reinforcement learning involves agents interacting with an environment t...
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01/12/2022
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning
This paper considers multi-agent reinforcement learning (MARL) tasks whe...
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09/02/2021
Resilience to Denial-of-Service and Integrity Attacks: A Structured Systems Approach
The resilience of cyberphysical systems to denial-of-service (DoS) and i...
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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
Shaping Advice in Deep Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning involves multiple agents interacting ...
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09/20/2020
Safety-Critical Online Control with Adversarial Disturbances
This paper studies the control of safety-critical dynamical systems in t...
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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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01/19/2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
Reinforcement learning has been successful in training autonomous agents...
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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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07/20/2019
Potential-Based Advice for Stochastic Policy Learning
This paper augments the reward received by a reinforcement learning agen...
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03/16/2019
Secure Control under Partial Observability with Temporal Logic Constraints
This paper studies the synthesis of control policies for an agent that h...
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03/16/2019
