45 citations · 51 across the 5 of their papers we have counts for
5 papers
FairLay-ML: Intuitive Remedies for Unfairness in Data-Driven Social-Critical Algorithms
Normen Yu, Gang Tan, Saeid Tizpaz-Niari
This thesis explores open-sourced machine learning (ML) model explanation tools to understand whether these tools can allow a layman to visualize, understand, and suggest intuitive…
Information-Theoretic Testing and Debugging of Fairness Defects in Deep Neural Networks
Verya Monjezi, Ashutosh Trivedi, Gang Tan +1
The deep feedforward neural networks (DNNs) are increasingly deployed in socioeconomic critical decision support software systems. DNNs are exceptionally good at finding minimal, s…
Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices
Yohan Beugin, Quinn Burke, Blaine Hoak +5
Millions of consumers depend on smart camera systems to remotely monitor their homes and businesses. However, the architecture and design of popular commercial systems require user…
Fairness-aware Configuration of Machine Learning Libraries
Saeid Tizpaz-Niari, Ashish Kumar, Gang Tan +1
This paper investigates the parameter space of machine learning (ML) algorithms in aggravating or mitigating fairness bugs. Data-driven software is increasingly applied in social-c…
Building a Privacy-Preserving Smart Camera System
Yohan Beugin, Quinn Burke, Blaine Hoak +5
Millions of consumers depend on smart camera systems to remotely monitor their homes and businesses. However, the architecture and design of popular commercial systems require user…