Privacy and Utility Allied

Universal Optimality and Robust Utility Bounds for Metric Differential Privacy

Autorzy: Natasha Fernandes; Annabelle McIver; Catuscia Palamidessi; Ming Ding
Opublikowane w: IEEE 35th Computer Security Foundations Symposium (CSF), 2022, ISBN 978-1-6654-8417-6
Wydawca: IEEE
DOI: 10.1109/csf54842.2022.9919647

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

Autorzy: Carlos Pinzón; Catuscia Palamidessi; Pablo Piantanida; Frank Valencia
Opublikowane w: 36th AAAI Conference on Artificial Intelligence, 2022
Wydawca: Association for the Advancement of Artificial Intelligence
DOI: 10.1609/aaai.v36i7.20770

Generalized Iterative Bayesian Update and Applications to Mechanisms for Privacy Protection

Autorzy: Ehab ElSalamouny, Catuscia Palamidessi
Opublikowane w: 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 2020, Strona(/y) 490-507, ISBN 978-1-7281-5087-1
Wydawca: IEEE
DOI: 10.1109/eurosp48549.2020.00038

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

Autorzy: Mireya Jurado; Catuscia Palamidessi; Geoffrey Smith
Opublikowane w: IEEE 34th Computer Security Foundations Symposium (CSF), 2021, ISBN 978-1-7281-7607-9
Wydawca: IEEE
DOI: 10.1109/csf51468.2021.00046

Modern Applications of Game-Theoretic Principles

Autorzy: Palamidessi, Catuscia; Romanelli, Marco
Opublikowane w: CONCUR 2020 - 31st International Conference on Concurrency Theory, Sep 2020, Vienne / Virtual, Austria., Numer 171, 2020, Strona(/y) 4:1--4:9
Wydawca: Schloss Dagstuhl - Leibniz-Zentrum fur Informatik
DOI: 10.4230/lipics.concur.2020.4

DOCTOR: A Simple Method for Detecting Misclassification Errors

Autorzy: Granese, Federica; Romanelli, Marco; Gorla, Daniele; Palamidessi, Catuscia; Piantanida, Pablo
Opublikowane w: Advances in Neural Information Processing Systems (NeurIPS), 2021, Virtual event, United States, Numer 34, 2021, ISSN 1049-5258
Wydawca: 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

Autorzy: Daniele Gorla, Federica Granese, Catuscia Palamidessi
Opublikowane w: Theoretical Aspects of Computing – ICTAC 2019 - 16th International Colloquium, Hammamet, Tunisia, October 31 – November 4, 2019, Proceedings, Numer 11884, 2019, Strona(/y) 313-331, ISBN 978-3-030-32504-6
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-32505-3_18

Estimating g-Leakage via Machine Learning

Autorzy: Marco Romanelli, Konstantinos Chatzikokolakis, Catuscia Palamidessi, Pablo Piantanida
Opublikowane w: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020, Strona(/y) 697-716, ISBN 9781450370899
Wydawca: ACM
DOI: 10.1145/3372297.3423363

Optimal Obfuscation Mechanisms via Machine Learning

Autorzy: Marco Romanelli, Kostantinos Chatzikokolakis, Catuscia Palamidessi
Opublikowane w: 2020 IEEE 33rd Computer Security Foundations Symposium (CSF), 2020, Strona(/y) 153-168, ISBN 978-1-7281-6572-1
Wydawca: IEEE
DOI: 10.1109/csf49147.2020.00019

An Incentive Mechanism for Trading Personal Data in Data Markets

Autorzy: Sayan Biswas, Kangsoo Jung, Catuscia Palamidessi
Opublikowane w: Theoretical Aspects of Computing – ICTAC, 2021, ISBN 978-3-030-85314-3
Wydawca: Springer
DOI: 10.1007/978-3-030-85315-0_12

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

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

Leveraging Adversarial Examples to Quantify Membership Information Leakage

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

Establishing the Price of Privacy in Federated Data Trading

Autorzy: Kangsoo Jung, Sayan Biswas, Catuscia Palamidessi
Opublikowane w: Protocols, Strands, and Logic, 2021, ISBN 978-3-030-91631-2
Wydawca: Springer
DOI: 10.1007/978-3-030-91631-2_13

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

Autorzy: Falaschi, Moreno; Palamidessi, Catuscia; Romanelli, Marco
Opublikowane w: "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⟩", Numer 86, 2020, Strona(/y) 11:1--11:20
Wydawca: Schloss Dagstuhl--Leibniz-Zentrum fur Informatik
DOI: 10.4230/oasics.gabbrielli.11

The Science of Quantitative Information Flow

Autorzy: Mário S. Alvim, Konstantinos Chatzikokolakis, Annabelle McIver, Carroll Morgan, Catuscia Palamidessi, Geoffrey Smith
Opublikowane w: 2020, ISBN 978-3-319-96131-6
Wydawca: Springer
DOI: 10.1007/978-3-319-96131-6

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

Autorzy: Karima Makhlouf; Sami Zhioua; Catuscia Palamidessi
Opublikowane w: Information Processing and Management, Numer 58, 2021, ISSN 0306-4573
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.ipm.2021.102642

On the Applicability of Machine Learning Fairness Notions

Autorzy: Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi
Opublikowane w: ACM SIGKDD Explorations Newsletter, Numer 23/1, 2021, Strona(/y) 14-23, ISSN 1931-0145
Wydawca: Association for Computing Machinery
DOI: 10.1145/3468507.3468511

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

Autorzy: Federica Granese, Daniele Gorla, Catuscia Palamidessi
Opublikowane w: International Journal of Information Security, 2021, ISSN 1615-5262
Wydawca: Springer Verlag
DOI: 10.1007/s10207-020-00530-7

Refinement Orders for Quantitative Information Flow and Differential Privacy

Autorzy: Konstantinos Chatzikokolakis; Natasha Fernandes; Catuscia Palamidessi
Opublikowane w: Journal of Cybersecurity and Privacy, Numer 1, 2022, ISSN 2624-800X
Wydawca: MDPI
DOI: 10.3390/jcp1010004

A logical characterization of differential privacy

Autorzy: Valentina Castiglioni, Konstantinos Chatzikokolakis, Catuscia Palamidessi
Opublikowane w: Science of Computer Programming, Numer 188, 2020, Strona(/y) 102388, ISSN 0167-6423
Wydawca: Elsevier BV
DOI: 10.1016/j.scico.2019.102388

Information Leakage Games: Exploring Information as a Utility Function

Autorzy: Catuscia Palamidessi; Mário Alvim; Yusuke Kawamoto; Konstantinos Chatzikokolakis
Opublikowane w: ACM Transactions on Privacy and Security, Numer 25, 2022, ISSN 2471-2566
Wydawca: ACM
DOI: 10.48550/arxiv.2012.12060

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