What Percentage of Programs Halt? - Laurent Bienvenu; Damien Desfontaines; Alexander Shen 001 (ICALP (1), 2015)

Universality and Almost Decidability. - Cristian S. Calude; Damien Desfontaines (Fundam. Informaticae, 2015)

Anytime Algorithms for Non-Ending Computations. - Cristian S. Calude; Damien Desfontaines (Int. J. Found. Comput. Sci., 2015)

Generic algorithms for halting problem and optimal machines revisited. - Laurent Bienvenu; Damien Desfontaines; Alexander Shen 001 (Log. Methods Comput. Sci., 2016)

KHyperLogLog: Estimating Reidentifiability and Joinability of Large Data at Scale. - Pern Hui Chia; Damien Desfontaines; Irippuge Milinda Perera; Daniel Simmons-Marengo; Chao Li; Wei-Yen Day; Qiushi Wang; Miguel Guevara (IEEE Symposium on Security and Privacy, 2019)

Passive and active attackers in noiseless privacy. - Damien Desfontaines; Elisabeth Krahmer; Esfandiar Mohammadi (CoRR, 2019)

Cardinality Estimators do not Preserve Privacy. - Damien Desfontaines; Andreas Lochbihler; David A. Basin (Proc. Priv. Enhancing Technol., 2019)

Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.0). - Ahmet Aktay; Shailesh Bavadekar; Gwen Cossoul; John Davis; Damien Desfontaines; Alex Fabrikant; Evgeniy Gabrilovich; Krishna Gadepalli; Bryant Gipson; Miguel Guevara; Chaitanya Kamath; Mansi Kansal; et al. (CoRR, 2020)

Differentially private partition selection. - Damien Desfontaines; James Voss; Bryant Gipson (CoRR, 2020)

Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0). - Shailesh Bavadekar; Andrew M. Dai; John Davis; Damien Desfontaines; Ilya Eckstein; Katie Everett; Alex Fabrikant; Gerardo Flores; Evgeniy Gabrilovich; Krishna Gadepalli; Shane Glass; Rayman Huang; et al. (CoRR, 2020)

SoK: Differential privacies. - Damien Desfontaines; Balázs Pejó (Proc. Priv. Enhancing Technol., 2020)

Differentially Private SQL with Bounded User Contribution. - Royce J. Wilson; Celia Yuxin Zhang; William Lam; Damien Desfontaines; Daniel Simmons-Marengo; Bryant Gipson (Proc. Priv. Enhancing Technol., 2020)

Differential Privacy: The Pursuit of Protections by Default: A discussion with Miguel Guevara, Damien Desfontaines, Jim Waldo, and Terry Coatta. - Miguel Guevara; Damien Desfontaines; Jim Waldo; Terry Coatta (ACM Queue, 2020)

Lowering the cost of anonymization. - Damien Desfontaines (2020)

Google COVID-19 Vaccination Search Insights: Anonymization Process Description. - Shailesh Bavadekar; Adam Boulanger; John Davis; Damien Desfontaines; Evgeniy Gabrilovich; Krishna Gadepalli; Badih Ghazi; Tague Griffith; Jai Prakash Gupta 001; Chaitanya Kamath; Dennis Kraft; Ravi Kumar 001; et al. (CoRR, 2021)

A General Purpose Transpiler for Fully Homomorphic Encryption. - Shruthi Gorantala; Rob Springer; Sean Purser-Haskell; William Lam; Royce J. Wilson; Asra Ali; Eric P. Astor; Itai Zukerman; Sam Ruth; Christoph Dibak; Phillipp Schoppmann; Sasha Kulankhina; et al. (IACR Cryptol. ePrint Arch., 2021)

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers. - Samuel Haney; Damien Desfontaines; Luke Hartman; Ruchit Shrestha; Michael Hay (CoRR, 2022)

Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy. - Skye Berghel; Philip Bohannon; Damien Desfontaines; Charles Estes; Samuel Haney; Luke Hartman; Michael Hay; Ashwin Machanavajjhala; Tom Magerlein; Gerome Miklau; Amritha Pai; William Sexton; et al. (CoRR, 2022)

Differentially private partition selection. - Damien Desfontaines; James Voss; Bryant Gipson; Chinmoy Mandayam (Proc. Priv. Enhancing Technol., 2022)

Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions - Balázs Pejó; Damien Desfontaines (Springer, 2022)

Challenges towards the Next Frontier in Privacy. - Rachel Cummings; Damien Desfontaines; David Evans 001; Roxana Geambasu; Matthew Jagielski; Yangsibo Huang; Peter Kairouz; Gautam Kamath 001; Sewoong Oh; Olga Ohrimenko; Nicolas Papernot; Ryan Rogers 002; et al. (CoRR, 2023)

Publishing Wikipedia usage data with strong privacy guarantees. - Temilola Adeleye; Skye Berghel; Damien Desfontaines; Michael Hay; Isaac Johnson 001; Cléo Lemoisson; Ashwin Machanavajjhala; Tom Magerlein; Gabriele Modena; David Pujol; Daniel Simmons-Marengo; Hal Triedman (CoRR, 2023)

DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection. - Marika Swanberg; Damien Desfontaines; Samuel Haney (Proc. Priv. Enhancing Technol., 2023)