Cheryl J. Flynn

According to our database, Cheryl J. Flynn authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Differentially Private Multi-objective Selection: Pareto and Aggregation Approaches.

Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Divesh Srivastava

CoRR, 2024

2023

Global and Local Differentially Private Release of Count-Weighted Graphs.

Felipe T. Brito, Victor A. E. de Farias, Cheryl J. Flynn, Subhabrata Majumdar, Javam C. Machado, Divesh Srivastava

Proc. ACM Manag. Data, 2023

2022

Towards Algorithmic Fairness in Space-Time: Filling in Black Holes.

Cheryl J. Flynn, Aritra Guha, Subhabrata Majumdar, Divesh Srivastava, Zhengyi Zhou

CoRR, 2022

2021

Evaluating Fairness in the Presence of Spatial Autocorrelation.

Cheryl J. Flynn, Subhabrata Majumdar, Ritwik Mitra

CoRR, 2021

Detecting Bias in the Presence of Spatial Autocorrelation.

Subhabrata Majumdar, Cheryl J. Flynn, Ritwik Mitra

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2020

Local Dampening: Differential Privacy for Non-numeric Queries via Local Sensitivity.

Victor A. E. de Farias, Felipe T. Brito, Cheryl J. Flynn, Javam C. Machado, Subhabrata Majumdar, Divesh Srivastava

Proc. VLDB Endow., 2020

System to Integrate Fairness Transparently: An Industry Approach.

Emily Dodwell, Cheryl J. Flynn, Balachander Krishnamurthy, Subhabrata Majumdar, Ritwik Mitra

CoRR, 2020

2017

Scaling Private Record Linkage using Output Constrained Differential Privacy.

Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava

CoRR, 2017

Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage.

Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Deconstructing Domain Names to Reveal Latent Topics.

Cheryl J. Flynn, Kenneth E. Shirley, Wei Wang

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016