Amherst Differential Privacy Reading Group

Place: Zoom

Time: Wednesdays @ 11AM ET

About

The differential privacy reading group meets biweekly to discuss current research in the differential privacy literature. Each meeting, a volunteer presents a paper and the group discusses limitations, extensions, etc.

If you’re interested in attending or presenting a paper, contact Miguel Fuentes.

Schedule

TBD

Prior Schedules

Fall 2022

Date Topic Paper
9/21/22 Statistics Privacy Aware Experimentation over Sensitive Groups: A General Chi Square Approach
9/28/22 Applied LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
10/05/22 Statistics Differentially Private Approximate Quantiles
10/19/22 ML Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation
11/02/22 Statistics DP Mean Estimation Discussion

Summer 2022

Date Topic Paper
7/06/22 Foundations Calibrating Noise to Sensitivity in Private Data Analysis
7/13/22 Composition Boosting and Differential Privacy
7/29/22 Privacy Attack Linear Program Reconstruction in Practice
8/03/22 DP Variants Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds - Part I
8/10/22 DP Variants Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds - Part II
8/17/22 DP Variants Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds - Part III