A Model for Communication in Clusters of Multi-core Machines. - Christine Task; Arun Chauhan 001 (eScience, 2008)

A Guide to Differential Privacy Theory in Social Network Analysis. - Christine Task; Chris Clifton (ASONAM, 2012)

Keeping Your Little Back Shop. - Maire Byrne Evans; Christine Task (XRDS, 2013)

An Illustrated Primer in Differential Privacy. - Christine Task (XRDS, 2013)

Counting Triangles in Massive Graphs with MapReduce. - Tamara G. Kolda; Ali Pinar; Todd D. Plantenga; C. Seshadhri 001; Christine Task (SIAM J. Sci. Comput., 2014)

Privacy-preserving social network analysis - Christine Task (2015)

Differentially Private Significance Testing on Paired-Sample Data. - Christine Task; Chris Clifton (SDM, 2016)

Dynamic Goal Recognition Using Windowed Action Sequences. - David H. Ménager; Dongkyu Choi; Michael W. Floyd; Christine Task; David W. Aha (AAAI Workshops, 2017)

Investigating the solution space for online iterative explanation in goal reasoning agents. - Christine Task; Mark A. Wilson; Matthew Molineaux; David W. Aha (AI Commun., 2018)

An Uncertainty Principle is a Price of Privacy-Preserving Microdata. - John M. Abowd; Robert Ashmead; Ryan Cumings-Menon; Simson L. Garfinkel; Daniel Kifer; Philip Leclerc; William Sexton; Ashley Simpson; Christine Task; Pavel Zhuravlev (NeurIPS, 2021)

Diverse Community Data for Benchmarking Data Privacy Algorithms. - Aniruddha Sen; Christine Task; Dhruv Kapur; Gary Howarth; Karan Bhagat (NeurIPS, 2023)

Privacy and Bias Analysis of Disclosure Avoidance Systems. - Keyu Zhu; Ferdinando Fioretto; Pascal Van Hentenryck; Saswat Das; Christine Task (CoRR, 2023)

Toward Defining a Domain Complexity Measure Across Domains. - Katarina Doctor; Christine Task; Eric J. Kildebeck; Mayank Kejriwal; Lawrence Holder; Russell Leong (CoRR, 2023)

Finding ε and δ of Traditional Disclosure Control Systems. - Saswat Das; Keyu Zhu; Christine Task; Pascal Van Hentenryck; Ferdinando Fioretto (AAAI, 2024)