Damien Desfontaines

According to our database, Damien Desfontaines authored at least 23 papers between 2015 and 2023.

Collaborative distances:

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

2023

DP-SIPS: A simpler, more scalable mechanism for differentially private partition selection.

Marika Swanberg, Damien Desfontaines, Samuel Haney

Proc. Priv. Enhancing Technol., October, 2023

Publishing Wikipedia usage data with strong privacy guarantees.

Temilola Adeleye, Skye Berghel, Damien Desfontaines, Michael Hay, Isaac Johnson, Cléo Lemoisson, Ashwin Machanavajjhala, Tom Magerlein, Gabriele Modena, David Pujol, Daniel Simmons-Marengo, Hal Triedman

CoRR, 2023

Challenges towards the Next Frontier in Privacy.

Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Matthew Jagielski, Yangsibo Huang, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie J. Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Sergey Yekhanin, Da Yu, Huanyu Zhang, Wanrong Zhang

CoRR, 2023

2022

Guide to Differential Privacy Modifications - A Taxonomy of Variants and Extensions

Balázs Pejó, Damien Desfontaines

Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-96397-2, 2022

Differentially private partition selection.

Damien Desfontaines, James Voss, Bryant Gipson, Chinmoy Mandayam

Proc. Priv. Enhancing Technol., 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, Ruchit Shrestha

CoRR, 2022

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

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, Alain Forget, David Marn, Cameron Tew, Rafael Misoczki, Bernat Guillen, Xinyu Ye, Dennis Kraft, Damien Desfontaines, Aishe Krishnamurthy, Miguel Guevara, Irippuge Milinda Perera, Yurii Sushko, Bryant Gipson

IACR Cryptol. ePrint Arch., 2021

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, Chaitanya Kamath, Dennis Kraft, Ravi Kumar, Akim Kumok, Yael Mayer, Pasin Manurangsi, Arti Patankar, Irippuge Milinda Perera, Chris Scott, Tomer Shekel, Benjamin Miller, Karen Smith, Charlotte Stanton, Mimi Sun, Mark Young, Gregory Wellenius

CoRR, 2021

2020

Lowering the cost of anonymization.

Damien Desfontaines

PhD thesis, 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

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

SoK: Differential privacies.

Damien Desfontaines, Balázs Pejó

Proc. Priv. Enhancing Technol., 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, Chaitanya Kamath, Dennis Kraft, Akim Kumok, Hinali Marfatia, Yael Mayer, Benjamin Miller, Adam Pearce, Irippuge Milinda Perera, Venky Ramachandran, Karthik Raman, Thomas Roessler, Izhak Shafran, Tomer Shekel, Charlotte Stanton, Jacob Stimes, Mimi Sun, Gregory Wellenius, Masrour Zoghi

CoRR, 2020

Differentially private partition selection.

Damien Desfontaines, James Voss, Bryant Gipson

CoRR, 2020

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, Ali Lange, Chinmoy Mandayam, Andrew Oplinger, Christopher Pluntke, Thomas Roessler, Arran Schlosberg, Tomer Shekel, Swapnil Vispute, Mia Vu, Gregory Wellenius, Brian Williams, Royce J. Wilson

CoRR, 2020

2019

Cardinality Estimators do not Preserve Privacy.

Damien Desfontaines, Andreas Lochbihler, David A. Basin

Proc. Priv. Enhancing Technol., 2019

Passive and active attackers in noiseless privacy.

Damien Desfontaines, Elisabeth Krahmer, Esfandiar Mohammadi

CoRR, 2019

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

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

2016

Generic algorithms for halting problem and optimal machines revisited.

Laurent Bienvenu, Damien Desfontaines, Alexander Shen

Log. Methods Comput. Sci., 2016

2015

Anytime Algorithms for Non-Ending Computations.

Cristian S. Calude, Damien Desfontaines

Int. J. Found. Comput. Sci., 2015

Universality and Almost Decidability.

Cristian S. Calude, Damien Desfontaines

Fundam. Informaticae, 2015

What Percentage of Programs Halt?

Laurent Bienvenu, Damien Desfontaines, Alexander Shen

Proceedings of the Automata, Languages, and Programming - 42nd International Colloquium, 2015