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07/25/2023
Safety Margins for Reinforcement Learning
Any autonomous controller will be unsafe in some situations. The ability...
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05/17/2023
Model-Free Robust Average-Reward Reinforcement Learning
Robust Markov decision processes (MDPs) address the challenge of model u...
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04/11/2023
Automaton-Guided Curriculum Generation for Reinforcement Learning Agents
Despite advances in Reinforcement Learning, many sequential decision mak...
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03/09/2023
NoiseCAM: Explainable AI for the Boundary Between Noise and Adversarial Attacks
Deep Learning (DL) and Deep Neural Networks (DNNs) are widely used in va...
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03/08/2023
Exploring Adversarial Attacks on Neural Networks: An Explainable Approach
Deep Learning (DL) is being applied in various domains, especially in sa...
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03/07/2023
SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection
Detecting human-object interactions (HOIs) is a challenging problem in c...
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01/10/2023
On the Robustness of AlphaFold: A COVID-19 Case Study
Protein folding neural networks (PFNNs) such as AlphaFold predict remark...
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01/02/2023
Robust Average-Reward Markov Decision Processes
In robust Markov decision processes (MDPs), the uncertainty in the trans...
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03/15/2022
A Differentiable Approach to Combinatorial Optimization using Dataless Neural Networks
The success of machine learning solutions for reasoning about discrete s...
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09/09/2021
Protein Folding Neural Networks Are Not Robust
Deep neural networks such as AlphaFold and RoseTTAFold predict remarkabl...
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09/01/2021
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks
Convolutional neural networks (CNN) are now being widely used for classi...
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08/05/2021
BOSS: Bidirectional One-Shot Synthesis of Adversarial Examples
The design of additive imperceptible perturbations to the inputs of deep...
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07/09/2021
Learning Probabilistic Reward Machines from Non-Markovian Stochastic Reward Processes
The success of reinforcement learning in typical settings is, in part, p...
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06/05/2021
Controller Synthesis for Omega-Regular and Steady-State Specifications
Given a Markov decision process (MDP) and a linear-time (ω-regular or LT...
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12/03/2020
Verifiable Planning in Expected Reward Multichain MDPs
The planning domain has experienced increased interest in the formal syn...
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11/11/2020
Domain Wall Leaky Integrate-and-Fire Neurons with Shape-Based Configurable Activation Functions
Complementary metal oxide semiconductor (CMOS) devices display volatile ...
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09/17/2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Deep neural networks have been shown to be vulnerable to membership infe...
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08/06/2020
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia
Trust in predictions made by machine learning models is increased if the...
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03/24/2020
Unsupervised Competitive Hardware Learning Rule for Spintronic Clustering Architecture
We propose a hardware learning rule for unsupervised clustering within a...
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03/04/2020
Plasticity-Enhanced Domain-Wall MTJ Neural Networks for Energy-Efficient Online Learning
Machine learning implements backpropagation via abundant training sample...
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02/29/2020