Deconstructing Domain Names to Reveal Latent Topics. - Cheryl J. Flynn; Kenneth E. Shirley; Wei Wang (DSAA, 2016)

Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage. - Xi He 001; Ashwin Machanavajjhala; Cheryl J. Flynn; Divesh Srivastava (CCS, 2017)

Scaling Private Record Linkage using Output Constrained Differential Privacy. - Xi He 001; Ashwin Machanavajjhala; Cheryl J. Flynn; Divesh Srivastava (CoRR, 2017)

System to Integrate Fairness Transparently: An Industry Approach. - Emily Dodwell; Cheryl J. Flynn; Balachander Krishnamurthy; Subhabrata Majumdar; Ritwik Mitra (CoRR, 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)

Detecting Bias in the Presence of Spatial Autocorrelation. - Subhabrata Majumdar; Cheryl J. Flynn; Ritwik Mitra (AFCR, 2021)

Evaluating Fairness in the Presence of Spatial Autocorrelation. - Cheryl J. Flynn; Subhabrata Majumdar; Ritwik Mitra (CoRR, 2021)

Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. - Cheryl J. Flynn; Aritra Guha; Subhabrata Majumdar; Divesh Srivastava; Zhengyi Zhou (CoRR, 2022)

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)

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)