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08/29/2022
Towards Adversarial Purification using Denoising AutoEncoders
With the rapid advancement and increased use of deep learning models in ...
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08/18/2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
The security of deep learning (DL) systems is an extremely important fie...
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05/28/2022
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
Agent-Based Models are very useful for simulation of physical or social ...
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02/08/2022
Optimal Multi-Agent Path Finding for Precedence Constrained Planning Tasks
Multi-Agent Path Finding (MAPF) is the problem of finding collision-free...
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12/09/2021
PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function
The security of Deep Learning classifiers is a critical field of study b...
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11/28/2021
Detecting Adversaries, yet Faltering to Noise? Leveraging Conditional Variational AutoEncoders for Adversary Detection in the Presence of Noisy Images
With the rapid advancement and increased use of deep learning models in ...
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04/04/2021
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
During the Covid-19 pandemic, most governments across the world imposed ...
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05/03/2020