164 citations · 185 across the 7 of their papers we have counts for
7 papers
Democratizing Ethical Assessment of Natural Language Generation Models
Amin Rasekh, Ian Eisenberg
Natural language generation models are computer systems that generate coherent language when prompted with a sequence of words as context. Despite their ubiquity and many beneficia…
Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study
Amitoj Singh, Jingshu Chen, Lihao Zhang +3
An independent ethical assessment of an artificial intelligence system is an impartial examination of the system's development, deployment, and use in alignment with ethical values…
A Review of Cybersecurity Incidents in the Water Sector
Amin Hassanzadeh, Amin Rasekh, Stefano Galelli +4
This study presents a critical review of disclosed, documented, and malicious cybersecurity incidents in the water sector to inform safeguarding efforts against cybersecurity threa…
Enhanced Variational Inference with Dyadic Transformation
Sarin Chandy, Amin Rasekh
Variational autoencoder is a powerful deep generative model with variational inference. The practice of modeling latent variables in the VAE's original formulation as normal distri…
Cyberattack Detection using Deep Generative Models with Variational Inference
Sarin E. Chandy, Amin Rasekh, Zachary A. Barker +1
Recent years have witnessed a rise in the frequency and intensity of cyberattacks targeted at critical infrastructure systems. This study designs a versatile, data-driven cyberatta…
A Dynamic Simulation-Optimization Model for Adaptive Management of Urban Water Distribution System Contamination Threats
Amin Rasekh, Kelly Brumbelow
Urban water distribution systems hold a critical and strategic position in preserving public health and industrial growth. Despite the ubiquity of these urban systems, aging infras…
Human Activity Recognition using Smartphone
Amin Rasekh, Chien-An Chen, Yan Lu
Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone.…