Mathias Humbert

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 57

Top Topics

Biomedical Data

Location Privacy

Machine Learning Models

Top Venues

Proc. Priv. Enhancing Technol.

USENIX Security Symposium

Publications

Kavous Salehzadeh Niksirat, Diana Korka, Quentin Jacquemin, Céline Vanini, Mathias Humbert, Mauro Cherubini, Sylvain Métille, Kévin Huguenin
Security and Privacy with Second-Hand Storage Devices: A User-Centric Perspective from Switzerland. Proc. Priv. Enhancing Technol. 2024 (2) (2024)
Kavous Salehzadeh Niksirat, Lev Velykoivanenko, Noé Zufferey, Mauro Cherubini, Kévin Huguenin, Mathias Humbert
Wearable Activity Trackers: A Survey on Utility, Privacy, and Security. ACM Comput. Surv. 56 (7) (2024)
Noé Zufferey, Kavous Salehzadeh Niksirat, Mathias Humbert, Kévin Huguenin
Our Data, Our Solutions: A Participatory Approach for Enhancing Privacy in Wearable Activity Tracker Third-Party Apps. Proc. Priv. Enhancing Technol. 2024 (4) (2024)
Caroline Violot, Tugrulcan Elmas, Igor Bilogrevic, Mathias Humbert
Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends. CoRR (2024)
Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Link Stealing Attacks Against Inductive Graph Neural Networks. Proc. Priv. Enhancing Technol. 2024 (4) (2024)
Caroline Violot, Tugrulcan Elmas, Igor Bilogrevic, Mathias Humbert
Shorts vs. Regular Videos on YouTube: A Comparative Analysis of User Engagement and Content Creation Trends. WebSci (2024)
Yixin Wu, Xinlei He, Pascal Berrang, Mathias Humbert, Michael Backes, Neil Zhenqiang Gong, Yang Zhang
Link Stealing Attacks Against Inductive Graph Neural Networks. CoRR (2024)
Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. USENIX Security Symposium (2024)
Yixin Wu, Rui Wen, Michael Backes, Pascal Berrang, Mathias Humbert, Yun Shen, Yang Zhang
Quantifying Privacy Risks of Prompts in Visual Prompt Learning. CoRR (2023)
Noé Zufferey, Kavous Salehzadeh Niksirat, Mathias Humbert, Kévin Huguenin
"Revoked just now!" Users' Behaviors Toward Fitness-Data Sharing with Third-Party Applications. Proc. Priv. Enhancing Technol. 2023 (1) (2023)
Noé Zufferey, Mathias Humbert, Romain Tavenard, Kévin Huguenin
Watch your Watch: Inferring Personality Traits from Wearable Activity Trackers. USENIX Security Symposium (2023)
Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang
Data Poisoning Attacks Against Multimodal Encoders. ICML (2023)
Victor Cochard, Damian Pfammatter, Chi Thang Duong, Mathias Humbert
Investigating Graph Embedding Methods for Cross-Platform Binary Code Similarity Detection. EuroS&P (2022)
Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang
Data Poisoning Attacks Against Multimodal Encoders. CoRR (2022)
Mathias Humbert, Didier Dupertuis, Mauro Cherubini, Kévin Huguenin
KGP Meter: Communicating Kin Genomic Privacy to the Masses. EuroS&P (2022)
Zeyang Sha, Xinlei He, Pascal Berrang, Mathias Humbert, Yang Zhang
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks. CoRR (2022)
Asuman Senol, Gunes Acar, Mathias Humbert, Frederik J. Zuiderveen Borgesius
Leaky Forms: A Study of Email and Password Exfiltration Before Form Submission. USENIX Security Symposium (2022)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
Graph Unlearning. CCS (2022)
Dana Naous, Manus Bonner, Mathias Humbert, Christine Legner
Learning From the Past to Improve the Future. Bus. Inf. Syst. Eng. 64 (5) (2022)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
Graph Unlearning. CoRR (2021)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
When Machine Unlearning Jeopardizes Privacy. CCS (2021)
Lev Velykoivanenko, Kavous Salehzadeh Niksirat, Noé Zufferey, Mathias Humbert, Kévin Huguenin, Mauro Cherubini
Are Those Steps Worth Your Privacy?: Fitness-Tracker Users' Perceptions of Privacy and Utility. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (4) (2021)
Dana Naous, Manus Bonner, Mathias Humbert, Christine Legner
Towards Mass Adoption of Contact Tracing Apps - Learning from Users' Preferences to Improve App Design. CoRR (2020)
Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models. CoRR (2020)
Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang
When Machine Unlearning Jeopardizes Privacy. CoRR (2020)
Mathias Humbert, Benjamin Trubert, Kévin Huguenin
A Survey on Interdependent Privacy. ACM Comput. Surv. 52 (6) (2020)
Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Yamane El-Zein, Mathias Humbert, Carmela Troncoso, Jacques Fellay, Jean-Pierre Hubaux
GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data. MIE (2020)
Bertil Chapuis, Olamide Omolola, Mauro Cherubini, Mathias Humbert, Kévin Huguenin
An Empirical Study of the Use of Integrity Verification Mechanisms for Web Subresources. WWW (2020)
Mathilde Raynal, Radhakrishna Achanta, Mathias Humbert
Image Obfuscation for Privacy-Preserving Machine Learning. CoRR (2020)
Inken Hagestedt, Mathias Humbert, Pascal Berrang, Irina Lehmann, Roland Eils, Michael Backes, Yang Zhang
Membership Inference Against DNA Methylation Databases. EuroS&P (2020)
Alexandre Meylan, Mauro Cherubini, Bertil Chapuis, Mathias Humbert, Igor Bilogrevic, Kévin Huguenin
A Study on the Use of Checksums for Integrity Verification of Web Downloads. ACM Trans. Priv. Secur. 24 (1) (2020)
Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
Towards Plausible Graph Anonymization. NDSS (2020)
Franck Legendre, Mathias Humbert, Alain Mermoud, Vincent Lenders
Contact Tracing: An Overview of Technologies and Cyber Risks. CoRR (2020)
Jean Louis Raisaro, Juan Ramón Troncoso-Pastoriza, Yamane El-Zein, Mathias Humbert, Jacques Fellay, Carmela Troncoso, Jean-Pierre Hubaux
GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data. AMIA (2020)
Ahmed Salem, Pascal Berrang, Mathias Humbert, Michael Backes
Privacy-Preserving Similar Patient Queries for Combined Biomedical Data. Proc. Priv. Enhancing Technol. 2019 (1) (2019)
Ahmed Salem, Yang Zhang, Mathias Humbert, Pascal Berrang, Mario Fritz, Michael Backes
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. NDSS (2019)
Spyros Boukoros, Mathias Humbert, Stefan Katzenbeisser, Carmela Troncoso
On (The Lack Of) Location Privacy in Crowdsourcing Applications. USENIX Security Symposium (2019)
Alexandra-Mihaela Olteanu, Mathias Humbert, Kévin Huguenin, Jean-Pierre Hubaux
The (Co-)Location Sharing Game. Proc. Priv. Enhancing Technol. 2019 (2) (2019)
Inken Hagestedt, Yang Zhang, Mathias Humbert, Pascal Berrang, Haixu Tang, XiaoFeng Wang, Michael Backes
MBeacon: Privacy-Preserving Beacons for DNA Methylation Data. NDSS (2019)
Spyros Boukoros, Mathias Humbert, Stefan Katzenbeisser, Carmela Troncoso
Why Johnny Can't Develop Mobile Crowdsourcing Applications with Location Privacy. CoRR (2019)
Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models. CoRR (2018)
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
Tagvisor: A Privacy Advisor for Sharing Hashtags. CoRR (2018)
Mauro Cherubini, Alexandre Meylan, Bertil Chapuis, Mathias Humbert, Igor Bilogrevic, Kévin Huguenin
Towards Usable Checksums: Automating the Integrity Verification of Web Downloads for the Masses. CCS (2018)
Yang Zhang, Mathias Humbert, Tahleen A. Rahman, Cheng-Te Li, Jun Pang, Michael Backes
Tagvisor: A Privacy Advisor for Sharing Hashtags. WWW (2018)
Pascal Berrang, Mathias Humbert, Yang Zhang, Irina Lehmann, Roland Eils, Michael Backes
Dissecting Privacy Risks in Biomedical Data. EuroS&P (2018)
Ninja Marnau, Pascal Berrang, Mathias Humbert
Anonymisierungsverfahren für genetische Daten. Datenschutz und Datensicherheit 42 (2) (2018)
Michael Backes, Pascal Berrang, Mathias Humbert, Xiaoyu Shen, Verena Wolf
Simulating the Large-Scale Erosion of Genomic Privacy Over Time. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (5) (2018)
Florian Tramèr, Vaggelis Atlidakis, Roxana Geambasu, Daniel J. Hsu, Jean-Pierre Hubaux, Mathias Humbert, Ari Juels, Huang Lin
FairTest: Discovering Unwarranted Associations in Data-Driven Applications. EuroS&P (2017)
Alexandra-Mihaela Olteanu, Kévin Huguenin, Reza Shokri, Mathias Humbert, Jean-Pierre Hubaux
Quantifying Interdependent Privacy Risks with Location Data. IEEE Trans. Mob. Comput. 16 (3) (2017)
Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang
walk2friends: Inferring Social Links from Mobility Profiles. CoRR (2017)
Michael Backes, Pascal Berrang, Matthias Bieg, Roland Eils, Carl Herrmann, Mathias Humbert, Irina Lehmann
Identifying Personal DNA Methylation Profiles by Genotype Inference. IEEE Symposium on Security and Privacy (2017)
Mathias Humbert, Erman Ayday, Jean-Pierre Hubaux, Amalio Telenti
Quantifying Interdependent Risks in Genomic Privacy. ACM Trans. Priv. Secur. 20 (1) (2017)
Michael Backes, Mathias Humbert, Jun Pang, Yang Zhang
walk2friends: Inferring Social Links from Mobility Profiles. CCS (2017)
Erman Ayday, Mathias Humbert
Inference Attacks against Kin Genomic Privacy. IEEE Secur. Priv. 15 (5) (2017)
Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes
CTRL+Z: Recovering Anonymized Social Graphs. CoRR (2017)
Michael Backes, Pascal Berrang, Mathias Humbert, Praveen Manoharan
Membership Privacy in MicroRNA-based Studies. CCS (2016)
Michael Backes, Pascal Berrang, Anna Hecksteden, Mathias Humbert, Andreas Keller, Tim Meyer
Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles. USENIX Security Symposium (2016)
Mathias Humbert, Kévin Huguenin, Joachim Hugonot, Erman Ayday, Jean-Pierre Hubaux
De-anonymizing Genomic Databases Using Phenotypic Traits. Proc. Priv. Enhancing Technol. 2015 (2) (2015)
Florian Tramèr, Vaggelis Atlidakis, Roxana Geambasu, Daniel J. Hsu, Jean-Pierre Hubaux, Mathias Humbert, Ari Juels, Huang Lin
Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit. CoRR (2015)
Mathias Humbert, Erman Ayday, Jean-Pierre Hubaux, Amalio Telenti
On Non-cooperative Genomic Privacy. Financial Cryptography (2015)
Mathias Humbert, Erman Ayday, Jean-Pierre Hubaux, Amalio Telenti
Reconciling Utility with Privacy in Genomics. WPES (2014)
Mathias Humbert, Erman Ayday, Jean-Pierre Hubaux, Amalio Telenti
Addressing the concerns of the lacks family: quantification of kin genomic privacy. CCS (2013)
Mathias Humbert, Théophile Studer, Matthias Grossglauser, Jean-Pierre Hubaux
Nowhere to Hide: Navigating around Privacy in Online Social Networks. ESORICS (2013)
Mathias Humbert, Mohammad Hossein Manshaei, Jean-Pierre Hubaux
One-to-n scrip systems for cooperative privacy-enhancing technologies. Allerton (2011)
Francisco Santos, Mathias Humbert, Reza Shokri, Jean-Pierre Hubaux
Collaborative Location Privacy with Rational Users. GameSec (2011)
Mathias Humbert, Mohammad Hossein Manshaei, Julien Freudiger, Jean-Pierre Hubaux
Tracking Games in Mobile Networks. GameSec (2010)