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Journal Articles
- 2024
[j12]Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople:
Investigating the Effect of Misalignment on Membership Privacy in the White-box Setting. Proc. Priv. Enhancing Technol. 2024(3): 407-430 (2024)- [j11]Vincent Guan, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data. Proc. Priv. Enhancing Technol. 2024(4): 80-101 (2024) - 2023
- [j10]Luc Rocher
, Arnaud Tournier, Yves-Alexandre de Montjoye:
Adversarial competition and collusion in algorithmic markets. Nat. Mac. Intell. 5(5): 497-504 (2023) - [j9]Florimond Houssiau, Piotr Sapiezynski, Laura Radaelli, Erez Shmueli, Yves-Alexandre de Montjoye:
Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions. Patterns 4(1): 100662 (2023) - [j8]Florimond Houssiau, Thibaut Liénart, Julien M. Hendrickx, Yves-Alexandre de Montjoye:
Web Privacy: A Formal Adversarial Model for Query Obfuscation. IEEE Trans. Inf. Forensics Secur. 18: 2132-2143 (2023) - 2021
- [j7]Ali Farzanehfar, Florimond Houssiau, Yves-Alexandre de Montjoye:
The risk of re-identification remains high even in country-scale location datasets. Patterns 2(3): 100204 (2021) - 2020
- [j6]Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex Pentland, Michel Verleysen, Yves-Alexandre de Montjoye:
Inference of node attributes from social network assortativity. Neural Comput. Appl. 32(24): 18023-18043 (2020) - [j5]Dániel Kondor, Behrooz Hashemian, Yves-Alexandre de Montjoye, Carlo Ratti:
Towards Matching User Mobility Traces in Large-Scale Datasets. IEEE Trans. Big Data 6(4): 714-726 (2020) - 2017
- [j4]Eaman Jahani, Pål Sundsøy, Johannes Bjelland, Linus Bengtsson, Alex 'Sandy' Pentland, Yves-Alexandre de Montjoye:
Improving official statistics in emerging markets using machine learning and mobile phone data. EPJ Data Sci. 6(1): 3 (2017) - [j3]Eaman Jahani, Pål Sundsøy, Johannes Bjelland, Linus Bengtsson, Alex 'Sandy' Pentland, Yves-Alexandre de Montjoye:
Erratum to: Improving official statistics in emerging markets using machine learning and mobile phone data. EPJ Data Sci. 6(1): 8 (2017) - 2016
- [j2]Yves-Alexandre de Montjoye, Luc Rocher, Alex 'Sandy' Pentland:
bandicoot: a Python Toolbox for Mobile Phone Metadata. J. Mach. Learn. Res. 17: 175:1-175:5 (2016) - 2012
- [j1]Yves-Alexandre de Montjoye, Samuel S. Wang, Alex Pentland:
On the Trusted Use of Large-Scale Personal Data. IEEE Data Eng. Bull. 35(4): 5-8 (2012)
Conference and Workshop Papers
- 2024
- [c21]Ana-Maria Cretu, Miruna Rusu, Yves-Alexandre de Montjoye:
Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks. CODASPY 2024: 295-306 - [c20]Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye:
Copyright Traps for Large Language Models. ICML 2024 - [c19]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. USENIX Security Symposium 2024 - 2023
- [c18]Florent Guépin, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Synthetic Is All You Need: Removing the Auxiliary Data Assumption for Membership Inference Attacks Against Synthetic Data. ESORICS Workshops (1) 2023: 182-198 - [c17]Matthieu Meeus, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing. ESORICS (2) 2023: 380-399 - [c16]Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye:
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. SP 2023: 234-252 - 2022
- [c15]Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye:
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CCS 2022: 623-637 - [c14]Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye:
M2M: A General Method to Perform Various Data Analysis Tasks from a Differentially Private Sketch. STM 2022: 117-135 - [c13]Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye:
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice. USENIX Security Symposium 2022: 501-518 - [c12]Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. USENIX Security Symposium 2022: 2317-2334 - 2021
- [c11]Luc Rocher, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye:
The Observatory of Anonymity: An Interactive Tool to Understand Re-Identification Risks in 89 countries. WWW (Companion Volume) 2021: 687-689 - 2019
- [c10]Axel Oehmichen, Shubham Jain, Andrea Gadotti, Yves-Alexandre de Montjoye:
OPAL: High performance platform for large-scale privacy-preserving location data analytics. IEEE BigData 2019: 1332-1342 - [c9]Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval:
Differentially Private Compressive K-means. ICASSP 2019: 7933-7937 - [c8]Andrea Gadotti, Florimond Houssiau, Luc Rocher, Benjamin Livshits, Yves-Alexandre de Montjoye:
When the Signal is in the Noise: Exploiting Diffix's Sticky Noise. USENIX Security Symposium 2019: 1081-1098 - [c7]Shubham Jain, Eden Bensaid, Yves-Alexandre de Montjoye:
UNVEIL: Capture and Visualise WiFi Data Leakages. WWW 2019: 3550-3554 - 2017
- [c6]Bjarke Felbo, Pål Sundsøy, Alex 'Sandy' Pentland, Sune Lehmann, Yves-Alexandre de Montjoye:
Modeling the Temporal Nature of Human Behavior for Demographics Prediction. ECML/PKDD (3) 2017: 140-152 - [c5]Dounia Mulders, Cyril de Bodt, Johannes Bjelland, Alex 'Sandy' Pentland, Michel Verleysen, Yves-Alexandre de Montjoye:
Improving individual predictions using social networks assortativity. WSOM 2017: 169-176 - 2014
- [c4]Pål Roe Sundsøy, Johannes Bjelland, Asif M. Iqbal, Alex Pentland, Yves-Alexandre de Montjoye:
Big Data-Driven Marketing: How Machine Learning Outperforms Marketers' Gut-Feeling. SBP 2014: 367-374 - 2013
- [c3]Yves-Alexandre de Montjoye, Jordi Quoidbach, Florent Robic, Alex Pentland:
Predicting Personality Using Novel Mobile Phone-Based Metrics. SBP 2013: 48-55 - 2011
- [c2]Yves-Alexandre de Montjoye, Jesika Haria, Manuel Cebrián, Alex Pentland:
The Need for Champions for Approximate Social Search. SocialCom/PASSAT 2011: 231-234 - 2009
- [c1]Nathan Eagle, Yves-Alexandre de Montjoye, Luís M. A. Bettencourt:
Community Computing: Comparisons between Rural and Urban Societies Using Mobile Phone Data. CSE (4) 2009: 144-150
Parts in Books or Collections
- 2019
- [p1]Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, Yves-Alexandre de Montjoye, Xiaowen Dong, Özge Dagdelen, Patrick Vinck:
Introduction to the Data for Refugees Challenge on Mobility of Syrian Refugees in Turkey. Data for Refugees Challenge 2019: 3-27
Reference Works
- 2018
- [r1]Jameson L. Toole, Yves-Alexandre de Montjoye, Marta C. González, Alex 'Sandy' Pentland:
Modeling and Understanding Intrinsic Characteristics of Human Mobility. Handbook of Mobile Data Privacy 2018: 13-34
Informal and Other Publications
- 2024
- [i25]Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye:
Copyright Traps for Large Language Models. CoRR abs/2402.09363 (2024) - [i24]Ana-Maria Cretu, Miruna Rusu, Yves-Alexandre de Montjoye:
Re-pseudonymization Strategies for Smart Meter Data Are Not Robust to Deep Learning Profiling Attacks. CoRR abs/2404.03948 (2024) - [i23]Florent Guépin, Natasa Krco, Matthieu Meeus, Yves-Alexandre de Montjoye:
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models. CoRR abs/2405.15423 (2024) - [i22]Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye:
Mosaic Memory: Fuzzy Duplication in Copyright Traps for Large Language Models. CoRR abs/2405.15523 (2024) - [i21]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Inherent Challenges of Post-Hoc Membership Inference for Large Language Models. CoRR abs/2406.17975 (2024) - [i20]Vincent Guan, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data. CoRR abs/2406.18671 (2024) - [i19]Bozhidar Stevanoski, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems. CoRR abs/2409.01992 (2024) - 2023
- [i18]Andrea Gadotti, Florimond Houssiau, Meenatchi Sundaram Muthu Selva Annamalai, Yves-Alexandre de Montjoye:
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice. CoRR abs/2304.07134 (2023) - [i17]Ana-Maria Cretu, Daniel Jones, Yves-Alexandre de Montjoye, Shruti Tople:
Re-aligning Shadow Models can Improve White-box Membership Inference Attacks. CoRR abs/2306.05093 (2023) - [i16]Matthieu Meeus, Florent Guépin, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing. CoRR abs/2306.10308 (2023) - [i15]Shubham Jain, Ana-Maria Cretu, Antoine Cully, Yves-Alexandre de Montjoye:
Deep perceptual hashing algorithms with hidden dual purpose: when client-side scanning does facial recognition. CoRR abs/2306.11924 (2023) - [i14]Florent Guépin, Matthieu Meeus, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data. CoRR abs/2307.01701 (2023) - [i13]Matthieu Meeus, Shubham Jain, Marek Rei, Yves-Alexandre de Montjoye:
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models. CoRR abs/2310.15007 (2023) - 2022
- [i12]Ana-Maria Cretu, Florimond Houssiau, Antoine Cully, Yves-Alexandre de Montjoye:
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems. CoRR abs/2211.05249 (2022) - [i11]Florimond Houssiau, Vincent Schellekens, Antoine Chatalic, Shreyas Kumar Annamraju, Yves-Alexandre de Montjoye:
M2M: A general method to perform various data analysis tasks from a differentially private sketch. CoRR abs/2211.14062 (2022) - 2021
- [i10]Shubham Jain, Ana-Maria Cretu, Yves-Alexandre de Montjoye:
Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning. CoRR abs/2106.09820 (2021) - [i9]Ana-Maria Cretu, Florent Guépin, Yves-Alexandre de Montjoye:
Dataset correlation inference attacks against machine learning models. CoRR abs/2112.08806 (2021) - 2018
- [i8]Laura Radaelli, Piotr Sapiezynski, Florimond Houssiau, Erez Shmueli, Yves-Alexandre de Montjoye:
Quantifying Surveillance in the Networked Age: Node-based Intrusions and Group Privacy. CoRR abs/1803.09007 (2018) - [i7]Andrea Gadotti, Florimond Houssiau, Luc Rocher, Yves-Alexandre de Montjoye:
When the signal is in the noise: The limits of Diffix's sticky noise. CoRR abs/1804.06752 (2018) - [i6]Albert Ali Salah, Alex Pentland, Bruno Lepri, Emmanuel Letouzé, Patrick Vinck, Yves-Alexandre de Montjoye, Xiaowen Dong, Özge Dagdelen:
Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey. CoRR abs/1807.00523 (2018) - [i5]Alejandro Noriega-Campero, Alex Rutherford, Oren Lederman, Yves-Alexandre de Montjoye, Alex Pentland:
Mapping the Privacy-Utility Tradeoff in Mobile Phone Data for Development. CoRR abs/1808.00160 (2018) - 2017
- [i4]Dániel Kondor, Behrooz Hashemian, Yves-Alexandre de Montjoye, Carlo Ratti:
Towards matching user mobility traces in large-scale datasets. CoRR abs/1709.05772 (2017) - 2015
- [i3]Bjarke Felbo, Pål Roe Sundsøy, Alex Pentland, Sune Lehmann, Yves-Alexandre de Montjoye:
Using Deep Learning to Predict Demographics from Mobile Phone Metadata. CoRR abs/1511.06660 (2015) - [i2]Giuseppe D'Acquisto, Josep Domingo-Ferrer, Panayiotis Kikiras, Vicenç Torra, Yves-Alexandre de Montjoye, Athena Bourka:
Privacy by design in big data: An overview of privacy enhancing technologies in the era of big data analytics. CoRR abs/1512.06000 (2015) - 2014
- [i1]Yves-Alexandre de Montjoye, Zbigniew Smoreda, Romain Trinquart, Cezary Ziemlicki, Vincent D. Blondel:
D4D-Senegal: The Second Mobile Phone Data for Development Challenge. CoRR abs/1407.4885 (2014)
Coauthor Index
aka: Alex 'Sandy' Pentland
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