Humbert, Mathias

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Salem, A., Zhang, Y., Humbert, M., Berrang, P., Fritz, M., & Backes, M. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 873

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Salem, A., Zhang, Y., Humbert, M., Berrang, P., Fritz, M., & Backes, M. (2019) · Proceedings 2019 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 852

When Machine Unlearning Jeopardizes Privacy

Chen, M., Zhang, Z., Wang, T., Backes, M., Humbert, M., & Zhang, Y. (2021) · Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 195

FairTest: Discovering Unwarranted Associations in Data-Driven Applications

Tramer, F., Atlidakis, V., Geambasu, R., Hsu, D., Hubaux, J.-P., Humbert, M., Juels, A., & Lin, H. (2017) · 2017 IEEE European Symposium on Security and Privacy (EuroS&P)

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 171

FairTest: Discovering Unwarranted Associations in Data-Driven Applications

Tramèr, F., Atlidakis, V., Geambasu, R., Hsu, D., Hubaux, J.-P., Humbert, M., Juels, A., & Lin, H. (2015) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 171

Graph Unlearning

Chen, M., Zhang, Z., Wang, T., Backes, M., Humbert, M., & Zhang, Y. (2022) · Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 133

An Empirical Study of the Use of Integrity Verification Mechanisms for Web Subresources

Chapuis, B., Omolola, O., Cherubini, M., Humbert, M., & Huguenin, K. (2020) · Proceedings of The Web Conference 2020

Web Application Security VulnerabilitiesMobile and Web Applications

Cited by 14