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08/16/2022
ViT-ReT: Vision and Recurrent Transformer Neural Networks for Human Activity Recognition in Videos
Human activity recognition is an emerging and important area in computer...
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08/09/2022
Human Activity Recognition Using Cascaded Dual Attention CNN and Bi-Directional GRU Framework
Vision-based human activity recognition has emerged as one of the essent...
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11/09/2021
Phantom: A High-Performance Computational Core for Sparse Convolutional Neural Networks
Sparse convolutional neural networks (CNNs) have gained significant trac...
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07/19/2020
PUF-RLA: A PUF-based Reliable and Lightweight Authentication Protocol employing Binary String Shuffling
Physically unclonable functions (PUFs) can be employed for device identi...
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07/19/2020
NeuroMAX: A High Throughput, Multi-Threaded, Log-Based Accelerator for Convolutional Neural Networks
Convolutional neural networks (CNNs) require high throughput hardware ac...
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11/14/2018
TrolleyMod v1.0: An Open-Source Simulation and Data-Collection Platform for Ethical Decision Making in Autonomous Vehicles
This paper presents TrolleyMod v1.0, an open-source platform based on th...
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11/14/2018
Emergence of Addictive Behaviors in Reinforcement Learning Agents
This paper presents a novel approach to the technical analysis of wirehe...
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10/23/2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Since the inception of Deep Reinforcement Learning (DRL) algorithms, the...
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06/04/2018
Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
Recent developments have established the vulnerability of deep reinforce...
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06/04/2018
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles
With the rapidly growing interest in autonomous navigation, the body of ...
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05/23/2018
A Psychopathological Approach to Safety Engineering in AI and AGI
The complexity of dynamics in AI techniques is already approaching that ...
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02/28/2018
A Design Space Exploration Methodology for Parameter Optimization in Multicore Processors
The need for application-specific design of multicore/manycore processin...
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12/23/2017
Whatever Does Not Kill Deep Reinforcement Learning, Makes It Stronger
Recent developments have established the vulnerability of deep Reinforce...
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09/18/2017
A Comparative Quantitative Analysis of Contemporary Big Data Clustering Algorithms for Market Segmentation in Hospitality Industry
The hospitality industry is one of the data-rich industries that receive...
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09/13/2017
Models and Framework for Adversarial Attacks on Complex Adaptive Systems
We introduce the paradigm of adversarial attacks that target the dynamic...
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01/16/2017