Tracking Games in Mobile Networks. - Mathias Humbert; Mohammad Hossein Manshaei; Julien Freudiger; Jean-Pierre Hubaux (GameSec, 2010)

One-to-n scrip systems for cooperative privacy-enhancing technologies. - Mathias Humbert; Mohammad Hossein Manshaei; Jean-Pierre Hubaux (Allerton, 2011)

Collaborative Location Privacy with Rational Users. - Francisco Santos; Mathias Humbert; Reza Shokri; Jean-Pierre Hubaux (GameSec, 2011)

Addressing the concerns of the lacks family: quantification of kin genomic privacy. - Mathias Humbert; Erman Ayday; Jean-Pierre Hubaux; Amalio Telenti (CCS, 2013)

Nowhere to Hide: Navigating around Privacy in Online Social Networks. - Mathias Humbert; Théophile Studer; Matthias Grossglauser; Jean-Pierre Hubaux (ESORICS, 2013)

Reconciling Utility with Privacy in Genomics. - Mathias Humbert; Erman Ayday; Jean-Pierre Hubaux; Amalio Telenti (WPES, 2014)

On Non-cooperative Genomic Privacy. - Mathias Humbert; Erman Ayday; Jean-Pierre Hubaux; Amalio Telenti (Financial Cryptography, 2015)

Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit. - Florian Tramèr; Vaggelis Atlidakis; Roxana Geambasu; Daniel J. Hsu; Jean-Pierre Hubaux; Mathias Humbert; Ari Juels; Huang Lin (CoRR, 2015)

De-anonymizing Genomic Databases Using Phenotypic Traits. - Mathias Humbert; Kévin Huguenin; Joachim Hugonot; Erman Ayday; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2015)

When Others Impinge upon Your Privacy - Interdependent Risks and Protection in a Connected World. - Mathias Humbert (2015)

Membership Privacy in MicroRNA-based Studies. - Michael Backes 001; Pascal Berrang; Mathias Humbert; Praveen Manoharan 001 (CCS, 2016)

Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles. - Michael Backes 001; Pascal Berrang; Anna Hecksteden; Mathias Humbert; Andreas Keller; Tim Meyer (USENIX Security Symposium, 2016)

walk2friends: Inferring Social Links from Mobility Profiles. - Michael Backes 001; Mathias Humbert; Jun Pang 001; Yang Zhang 016 (CCS, 2017)

FairTest: Discovering Unwarranted Associations in Data-Driven Applications. - Florian Tramèr; Vaggelis Atlidakis; Roxana Geambasu; Daniel J. Hsu; Jean-Pierre Hubaux; Mathias Humbert; Ari Juels; Huang Lin (EuroS&P, 2017)

Identifying Personal DNA Methylation Profiles by Genotype Inference. - Michael Backes 001; Pascal Berrang; Matthias Bieg; Roland Eils; Carl Herrmann; Mathias Humbert; Irina Lehmann (IEEE Symposium on Security and Privacy, 2017)

CTRL+Z: Recovering Anonymized Social Graphs. - Yang Zhang 016; Mathias Humbert; Bartlomiej Surma; Praveen Manoharan 001; Jilles Vreeken; Michael Backes 001 (CoRR, 2017)

Inference Attacks against Kin Genomic Privacy. - Erman Ayday; Mathias Humbert (IEEE Secur. Priv., 2017)

Quantifying Interdependent Risks in Genomic Privacy. - Mathias Humbert; Erman Ayday; Jean-Pierre Hubaux; Amalio Telenti (ACM Trans. Priv. Secur., 2017)

Quantifying Interdependent Privacy Risks with Location Data. - Alexandra-Mihaela Olteanu; Kévin Huguenin; Reza Shokri; Mathias Humbert; Jean-Pierre Hubaux (IEEE Trans. Mob. Comput., 2017)

Towards Usable Checksums: Automating the Integrity Verification of Web Downloads for the Masses. - Mauro Cherubini; Alexandre Meylan; Bertil Chapuis; Mathias Humbert; Igor Bilogrevic; Kévin Huguenin (CCS, 2018)

Dissecting Privacy Risks in Biomedical Data. - Pascal Berrang; Mathias Humbert; Yang Zhang 016; Irina Lehmann; Roland Eils; Michael Backes 001 (EuroS&P, 2018)

Tagvisor: A Privacy Advisor for Sharing Hashtags. - Yang Zhang 016; Mathias Humbert; Tahleen A. Rahman; Cheng-Te Li; Jun Pang 001; Michael Backes 001 (WWW, 2018)

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. - Ahmed Salem 001; Yang Zhang 016; Mathias Humbert; Mario Fritz; Michael Backes 001 (CoRR, 2018)

Anonymisierungsverfahren für genetische Daten. - Ninja Marnau; Pascal Berrang; Mathias Humbert (Datenschutz und Datensicherheit, 2018)

Simulating the Large-Scale Erosion of Genomic Privacy Over Time. - Michael Backes 001; Pascal Berrang; Mathias Humbert; Xiaoyu Shen 001; Verena Wolf (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

MBeacon: Privacy-Preserving Beacons for DNA Methylation Data. - Inken Hagestedt; Yang Zhang 016; Mathias Humbert; Pascal Berrang; Haixu Tang; XiaoFeng Wang 001; Michael Backes 001 (NDSS, 2019)

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. - Ahmed Salem 001; Yang Zhang 016; Mathias Humbert; Pascal Berrang; Mario Fritz; Michael Backes 001 (NDSS, 2019)

On (The Lack Of) Location Privacy in Crowdsourcing Applications. - Spyros Boukoros; Mathias Humbert; Stefan Katzenbeisser 001; Carmela Troncoso (USENIX Security Symposium, 2019)

Why Johnny Can't Develop Mobile Crowdsourcing Applications with Location Privacy. - Spyros Boukoros; Mathias Humbert; Stefan Katzenbeisser 001; Carmela Troncoso (CoRR, 2019)

The (Co-)Location Sharing Game. - Alexandra-Mihaela Olteanu; Mathias Humbert; Kévin Huguenin; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2019)

Privacy-Preserving Similar Patient Queries for Combined Biomedical Data. - Ahmed Salem 001; Pascal Berrang; Mathias Humbert; Michael Backes 001 (Proc. Priv. Enhancing Technol., 2019)

GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data. - Jean Louis Raisaro; Juan Ramón Troncoso-Pastoriza; Yamane El-Zein; Mathias Humbert; Jacques Fellay; Carmela Troncoso; Jean-Pierre Hubaux (AMIA, 2020)

Membership Inference Against DNA Methylation Databases. - Inken Hagestedt; Mathias Humbert; Pascal Berrang; Irina Lehmann; Roland Eils; Michael Backes 001; Yang Zhang 016 (EuroS&P, 2020)

Towards Plausible Graph Anonymization. - Yang Zhang 016; Mathias Humbert; Bartlomiej Surma; Praveen Manoharan 001; Jilles Vreeken; Michael Backes 001 (NDSS, 2020)

An Empirical Study of the Use of Integrity Verification Mechanisms for Web Subresources. - Bertil Chapuis; Olamide Omolola; Mauro Cherubini; Mathias Humbert; Kévin Huguenin (WWW, 2020)

Contact Tracing: An Overview of Technologies and Cyber Risks. - Franck Legendre; Mathias Humbert; Alain Mermoud; Vincent Lenders (CoRR, 2020)

BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models. - Ahmed Salem 001; Yannick Sautter; Michael Backes 001; Mathias Humbert; Yang Zhang 016 (CoRR, 2020)

Image Obfuscation for Privacy-Preserving Machine Learning. - Mathilde Raynal; Radhakrishna Achanta; Mathias Humbert (CoRR, 2020)

Towards Mass Adoption of Contact Tracing Apps - Learning from Users' Preferences to Improve App Design. - Dana Naous; Manus Bonner; Mathias Humbert; Christine Legner (CoRR, 2020)

A Survey on Interdependent Privacy. - Mathias Humbert; Benjamin Trubert; Kévin Huguenin (ACM Comput. Surv., 2020)

A Study on the Use of Checksums for Integrity Verification of Web Downloads. - Alexandre Meylan; Mauro Cherubini; Bertil Chapuis; Mathias Humbert; Igor Bilogrevic; Kévin Huguenin (ACM Trans. Priv. Secur., 2020)

When Machine Unlearning Jeopardizes Privacy. - Min Chen 032; Zhikun Zhang 001; Tianhao Wang 001; Michael Backes 001; Mathias Humbert; Yang Zhang 016 (CCS, 2021)

Are Those Steps Worth Your Privacy?: Fitness-Tracker Users' Perceptions of Privacy and Utility. - Lev Velykoivanenko; Kavous Salehzadeh Niksirat; Noé Zufferey; Mathias Humbert; Kévin Huguenin; Mauro Cherubini (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Graph Unlearning. - Min Chen 032; Zhikun Zhang 001; Tianhao Wang 001; Michael Backes 001; Mathias Humbert; Yang Zhang 016 (CCS, 2022)

Investigating Graph Embedding Methods for Cross-Platform Binary Code Similarity Detection. - Victor Cochard; Damian Pfammatter; Chi Thang Duong; Mathias Humbert (EuroS&P, 2022)

KGP Meter: Communicating Kin Genomic Privacy to the Masses. - Mathias Humbert; Didier Dupertuis; Mauro Cherubini; Kévin Huguenin (EuroS&P, 2022)

Leaky Forms: A Study of Email and Password Exfiltration Before Form Submission. - Asuman Senol; Gunes Acar; Mathias Humbert; Frederik J. Zuiderveen Borgesius (USENIX Security Symposium, 2022)

Learning From the Past to Improve the Future. - Dana Naous; Manus Bonner; Mathias Humbert; Christine Legner (Bus. Inf. Syst. Eng., 2022)

Fine-Tuning Is All You Need to Mitigate Backdoor Attacks. - Zeyang Sha; Xinlei He 001; Pascal Berrang; Mathias Humbert; Yang Zhang 016 (CoRR, 2022)

Data Poisoning Attacks Against Multimodal Encoders. - Ziqing Yang 002; Xinlei He 001; Zheng Li 023; Michael Backes 001; Mathias Humbert; Pascal Berrang; Yang Zhang 016 (ICML, 2023)

Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers. - Noé Zufferey; Mathias Humbert; Romain Tavenard; Kévin Huguenin (USENIX Security Symposium, 2023)

"Revoked just now!" Users' Behaviors Toward Fitness-Data Sharing with Third-Party Applications. - Noé Zufferey; Kavous Salehzadeh Niksirat; Mathias Humbert; Kévin Huguenin (Proc. Priv. Enhancing Technol., 2023)

Shadow Health-Related Data: Definition, Categorization, and User Perspectives. - Yamane El-Zein; Kavous Salehzadeh Niksirat; Noé Zufferey; Mathias Humbert; Kévin Huguenin (EuroUSEC, 2024)

Quantifying Privacy Risks of Prompts in Visual Prompt Learning. - Yixin Wu 001; Rui Wen 002; Michael Backes 001; Pascal Berrang; Mathias Humbert; Yun Shen; Yang Zhang 016 (USENIX Security Symposium, 2024)

Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends. - Caroline Violot; Tugrulcan Elmas; Igor Bilogrevic; Mathias Humbert (WebSci, 2024)

Security and Privacy with Second-Hand Storage Devices: A User-Centric Perspective from Switzerland. - Kavous Salehzadeh Niksirat; Diana Korka; Quentin Jacquemin; Céline Vanini; Mathias Humbert; Mauro Cherubini; Sylvain Métille; Kévin Huguenin (Proc. Priv. Enhancing Technol., 2024)

Link Stealing Attacks Against Inductive Graph Neural Networks. - Yixin Wu 001; Xinlei He 001; Pascal Berrang; Mathias Humbert; Michael Backes 001; Neil Zhenqiang Gong; Yang Zhang 016 (Proc. Priv. Enhancing Technol., 2024)

Our Data, Our Solutions: A Participatory Approach for Enhancing Privacy in Wearable Activity Tracker Third-Party Apps. - Noé Zufferey; Kavous Salehzadeh Niksirat; Mathias Humbert; Kévin Huguenin (Proc. Priv. Enhancing Technol., 2024)

Wearable Activity Trackers: A Survey on Utility, Privacy, and Security. - Kavous Salehzadeh Niksirat; Lev Velykoivanenko; Noé Zufferey; Mauro Cherubini; Kévin Huguenin; Mathias Humbert (ACM Comput. Surv., 2024)

Know their Customers: An Empirical Study of Online Account Enumeration Attacks. - Maël Maceiras; Kavous Salehzadeh Niksirat; Gaël Bernard; Benoît Garbinato; Mauro Cherubini; Mathias Humbert; Kévin Huguenin (ACM Trans. Web, 2024)