Privacy and Utility Allied

Project Information

HYPATIA

Grant agreement ID: 835294

DOI 10.3030/835294

EC signature date 2 July 2019

Start date 1 October 2019

End date 30 September 2024

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 2 223 779,00

EU contribution € 2 223 779,00

Coordinated by

INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
France

Publications

Conference proceedings (12)

Universal Optimality and Robust Utility Bounds for Metric Differential Privacy

Author(s): Natasha Fernandes; Annabelle McIver; Catuscia Palamidessi; Ming Ding
Published in: IEEE 35th Computer Security Foundations Symposium (CSF), 2022, ISBN 978-1-6654-8417-6
Publisher: IEEE
DOI: 10.1109/csf54842.2022.9919647

On the Impossibility of non-Trivial Accuracy in Presence of Fairness Constraints

Author(s): Carlos Pinzón; Catuscia Palamidessi; Pablo Piantanida; Frank Valencia
Published in: 36th AAAI Conference on Artificial Intelligence, 2022
Publisher: Association for the Advancement of Artificial Intelligence
DOI: 10.1609/aaai.v36i7.20770

Generalized Iterative Bayesian Update and Applications to Mechanisms for Privacy Protection

Author(s): Ehab ElSalamouny, Catuscia Palamidessi
Published in: 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 2020, Page(s) 490-507, ISBN 978-1-7281-5087-1
Publisher: IEEE
DOI: 10.1109/eurosp48549.2020.00038

A Formal Information-Theoretic Leakage Analysis of Order-Revealing Encryption

Author(s): Mireya Jurado; Catuscia Palamidessi; Geoffrey Smith
Published in: IEEE 34th Computer Security Foundations Symposium (CSF), 2021, ISBN 978-1-7281-7607-9
Publisher: IEEE
DOI: 10.1109/csf51468.2021.00046

Modern Applications of Game-Theoretic Principles

Author(s): Palamidessi, Catuscia; Romanelli, Marco
Published in: CONCUR 2020 - 31st International Conference on Concurrency Theory, Sep 2020, Vienne / Virtual, Austria., Issue 171, 2020, Page(s) 4:1--4:9
Publisher: Schloss Dagstuhl - Leibniz-Zentrum fur Informatik
DOI: 10.4230/lipics.concur.2020.4

DOCTOR: A Simple Method for Detecting Misclassification Errors

Author(s): Granese, Federica; Romanelli, Marco; Gorla, Daniele; Palamidessi, Catuscia; Piantanida, Pablo
Published in: Advances in Neural Information Processing Systems (NeurIPS), 2021, Virtual event, United States, Issue 34, 2021, ISSN 1049-5258
Publisher: Curran Associates Inc. (Printed version) and Neural Information Processing Systems (Online version)
DOI: 10.48550/arxiv.2106.02395

Enhanced Models for Privacy and Utility in Continuous-Time Diffusion Networks

Author(s): Daniele Gorla, Federica Granese, Catuscia Palamidessi
Published in: Theoretical Aspects of Computing – ICTAC 2019 - 16th International Colloquium, Hammamet, Tunisia, October 31 – November 4, 2019, Proceedings, Issue 11884, 2019, Page(s) 313-331, ISBN 978-3-030-32504-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-030-32505-3_18

Estimating g-Leakage via Machine Learning

Author(s): Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida
Published in: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020, Page(s) 697-716, ISBN 9781450370899
Publisher: ACM
DOI: 10.1145/3372297.3423363

Optimal Obfuscation Mechanisms via Machine Learning

Author(s): Marco Romanelli, Kostantinos Chatzikokolakis, Catuscia Palamidessi
Published in: 2020 IEEE 33rd Computer Security Foundations Symposium (CSF), 2020, Page(s) 153-168, ISBN 978-1-7281-6572-1
Publisher: IEEE
DOI: 10.1109/csf49147.2020.00019

An Incentive Mechanism for Trading Personal Data in Data Markets

Author(s): Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Published in: Theoretical Aspects of Computing – ICTAC, 2021, ISBN 978-3-030-85314-3
Publisher: Springer
DOI: 10.1007/978-3-030-85315-0_12

Multi-Freq-LDPy: Multiple Frequency Estimation Under Local Differential Privacy in Python

Author(s): Héber H. Arcolezi; Jean-François Couchot; Sébastien Gambs; Catuscia Palamidessi; Majid Zolfaghari
Published in: Computer Security - ESORICS 2022: 27th European Symposium on Research in Computer Security, 2022, ISBN 9783031171420
Publisher: Springer
DOI: 10.1007/978-3-031-17143-7_40

Leveraging Adversarial Examples to Quantify Membership Information Leakage

Author(s): Ganesh Del Grosso; Hamid Jalalzai; Georg Pichler; Catuscia Palamidessi; Pablo Piantanida
Published in: Conference on Computer Vision and Pattern Recognition (CVPR), 2022, ISBN 978-1-6654-6947-0
Publisher: IEEE
DOI: 10.1109/cvpr52688.2022.01015

Book chapters (2)

Establishing the Price of Privacy in Federated Data Trading

Author(s): Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
Published in: Protocols, Strands, and Logic, 2021, ISBN 978-3-030-91631-2
Publisher: Springer
DOI: 10.1007/978-3-030-91631-2_13

Derivation of Constraints from Machine Learning Models and Applications to Security and Privacy

Author(s): Falaschi, Moreno; Palamidessi, Catuscia; Romanelli, Marco
Published in: "Frank S. de Boer and Jacopo Mauro. Recent Developments in the Design and Implementation of Programming Languages, 86, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, pp.11:1-11:20, 2020, OASICS, ⟨10.4230/OASIcs.Gabbrielli.2020.11⟩", Issue 86, 2020, Page(s) 11:1--11:20
Publisher: Schloss Dagstuhl--Leibniz-Zentrum fur Informatik
DOI: 10.4230/oasics.gabbrielli.11

Monographic books (1)

The Science of Quantitative Information Flow

Author(s): Mário S. Alvim, Konstantinos Chatzikokolakis, Annabelle McIver, Carroll Morgan, Catuscia Palamidessi, Geoffrey Smith
Published in: 2020, ISBN 978-3-319-96131-6
Publisher: Springer
DOI: 10.1007/978-3-319-96131-6

Peer reviewed articles (6)

Machine learning fairness notions: Bridging the gap with real-world applications

Author(s): Karima Makhlouf; Sami Zhioua; Catuscia Palamidessi
Published in: Information Processing and Management, Issue 58, 2021, ISSN 0306-4573
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102642

On the Applicability of Machine Learning Fairness Notions

Author(s): Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi
Published in: ACM SIGKDD Explorations Newsletter, Issue 23/1, 2021, Page(s) 14-23, ISSN 1931-0145
Publisher: Association for Computing Machinery
DOI: 10.1145/3468507.3468511

Enhanced models for privacy and utility in continuous-time diffusion networks

Author(s): Federica Granese, Daniele Gorla, Catuscia Palamidessi
Published in: International Journal of Information Security, 2021, ISSN 1615-5262
Publisher: Springer Verlag
DOI: 10.1007/s10207-020-00530-7

Refinement Orders for Quantitative Information Flow and Differential Privacy

Author(s): Konstantinos Chatzikokolakis; Natasha Fernandes; Catuscia Palamidessi
Published in: Journal of Cybersecurity and Privacy, Issue 1, 2022, ISSN 2624-800X
Publisher: MDPI
DOI: 10.3390/jcp1010004

A logical characterization of differential privacy

Author(s): Valentina Castiglioni, Konstantinos Chatzikokolakis, Catuscia Palamidessi
Published in: Science of Computer Programming, Issue 188, 2020, Page(s) 102388, ISSN 0167-6423
Publisher: Elsevier BV
DOI: 10.1016/j.scico.2019.102388

Information Leakage Games: Exploring Information as a Utility Function

Author(s): Catuscia Palamidessi; Mário Alvim; Yusuke Kawamoto; Konstantinos Chatzikokolakis
Published in: ACM Transactions on Privacy and Security, Issue 25, 2022, ISSN 2471-2566
Publisher: ACM
DOI: 10.48550/arxiv.2012.12060