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12/28/2022
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles
The deep neural network (DNN) models for object detection using camera i...
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03/18/2022
Sampling Complexity of Path Integral Methods for Trajectory Optimization
The use of random sampling in decision-making and control has become pop...
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11/28/2021
Learning Wildfire Model from Incomplete State Observations
As wildfires are expected to become more frequent and severe, improved p...
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10/25/2021
Accelerated Almost-Sure Convergence Rates for Nonconvex Stochastic Gradient Descent using Stochastic Learning Rates
Large-scale optimization problems require algorithms both effective and ...
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10/20/2021
Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings
In this work, multiplicative stochasticity is applied to the learning ra...
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05/09/2021
Learning Image Attacks toward Vision Guided Autonomous Vehicles
While adversarial neural networks have been shown successful for static ...
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03/04/2021
Estimation and Planning of Exploration Over Grid Map Using A Spatiotemporal Model with Incomplete State Observations
Path planning over spatiotemporal models can be applied to a variety of ...
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07/22/2019
Maya: Falsifying Power Sidechannels with Dynamic Control
The security of computers is at risk because of information leaking thro...
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07/22/2019
