activity
20162021
most citedWhat is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers

4 citations · 9 across the 6 of their papers we have counts for

collaborators

11 papers

cs.SE20213 cited

Muzeel: A Dynamic JavaScript Analyzer for Dead Code Elimination in Today's Web

Tofunmi Kupoluyi, Moumena Chaqfeh, Matteo Varvello +3

JavaScript contributes to the increasing complexity of today's web. To support user interactivity and accelerate the development cycle, web developers heavily rely on large general…

cs.NI2021

The case for model-driven interpretability of delay-based congestion control protocols

Muhammad Khan, Yasir Zaki, Shiva Iyer +5

Analyzing and interpreting the exact behavior of new delay-based congestion control protocols with complex non-linear control loops is exceptionally difficult in highly variable ne…

cs.LG2021

DICE: Deep Significance Clustering for Outcome-Aware Stratification

Yufang Huang, Kelly M. Axsom, John Lee +2

We present deep significance clustering (DICE), a framework for jointly performing representation learning and clustering for "outcome-aware" stratification. DICE is intended to ge…

cs.CL20201 cited

Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling

Yan Shvartzshnaider, Ananth Balashankar, Vikas Patidar +2

This paper formulates a new task of extracting privacy parameters from a privacy policy, through the lens of Contextual Integrity, an established social theory framework for reason…

cs.LG20194 cited

What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers

Ananth Balashankar, Alyssa Lees, Chris Welty +1

The potential for learned models to amplify existing societal biases has been broadly recognized. Fairness-aware classifier constraints, which apply equality metrics of performance…

cs.NI2018

The Case for MUSIC: A Programmable IoT Framework for Mobile Urban Sensing Applications

Shiva R. Iyer, Soumie Kumar, Kate Boxer +2

This vision paper presents the case for MUSIC, a programmable framework for building distributed mobile IoT applications for urban sensing. The Mobile Urban Sensing, Inference and…