Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models A Salem, Y Zhang, M Humbert, P Berrang, M Fritz, M Backes arXiv preprint arXiv:1806.01246, 2018 | 1013 | 2018 |
Membership privacy in MicroRNA-based studies M Backes, P Berrang, M Humbert, P Manoharan Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications …, 2016 | 170 | 2016 |
MBeacon: Privacy-preserving beacons for DNA methylation data I Hagestedt, Y Zhang, M Humbert, P Berrang, T Haixu, W XiaoFeng, ... CISPA, 2019 | 56 | 2019 |
On how zero-knowledge proof blockchain mixers improve, and worsen user privacy Z Wang, S Chaliasos, K Qin, L Zhou, L Gao, P Berrang, B Livshits, ... Proceedings of the ACM Web Conference 2023, 2022-2032, 2023 | 47 | 2023 |
Data poisoning attacks against multimodal encoders Z Yang, X He, Z Li, M Backes, M Humbert, P Berrang, Y Zhang International Conference on Machine Learning, 39299-39313, 2023 | 44 | 2023 |
Identifying personal DNA methylation profiles by genotype inference M Backes, P Berrang, M Bieg, R Eils, C Herrmann, M Humbert, I Lehmann 2017 IEEE symposium on security and privacy (SP), 957-976, 2017 | 43 | 2017 |
Privacy in Epigenetics: Temporal Linkability of MicroRNA Expression Profiles M Backes, P Berrang, A Hecksteden, M Humbert, A Keller, T Meyer | 37* | |
On profile linkability despite anonymity in social media systems M Backes, P Berrang, O Goga, KP Gummadi, P Manoharan Proceedings of the 2016 ACM on Workshop on Privacy in the Electronic Society …, 2016 | 32 | 2016 |
Fine-tuning is all you need to mitigate backdoor attacks Z Sha, X He, P Berrang, M Humbert, Y Zhang arXiv preprint arXiv:2212.09067, 2022 | 31 | 2022 |
Dissecting privacy risks in biomedical data P Berrang, M Humbert, Y Zhang, I Lehmann, R Eils, M Backes 2018 IEEE European Symposium on Security and Privacy (EuroS&P), 62-76, 2018 | 27 | 2018 |
A comparative analysis of decentralized power grid stabilization strategies A Hartmanns, H Hermanns, P Berrang Proceedings of the 2012 Winter Simulation Conference (WSC), 1-13, 2012 | 26 | 2012 |
Simulating the large-scale erosion of genomic privacy over time M Backes, P Berrang, M Humbert, X Shen, V Wolf IEEE/ACM transactions on computational biology and bioinformatics 15 (5 …, 2018 | 23 | 2018 |
Privacy-preserving similar patient queries for combined biomedical data A Salem, P Berrang, M Humbert, M Backes Proceedings on Privacy Enhancing Technologies, 2019 | 22 | 2019 |
Albatross–an optimistic consensus algorithm P Berrang, P von Styp-Rekowsky, M Wissfeld, B França, R Trinkler 2019 Crypto Valley Conference on Blockchain Technology (CVCBT), 39-42, 2019 | 21* | 2019 |
A platform that integrates quizzes into videos R Woll, S Buschbeck, T Steffens, P Berrang, J Loviscach Proceedings of the European MOOC Stakeholder Summit 2014, 155-159, 2014 | 15 | 2014 |
Membership inference against DNA methylation databases I Hagestedt, M Humbert, P Berrang, I Lehmann, R Eils, M Backes, ... 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 509-520, 2020 | 11 | 2020 |
A framework for constructing single secret leader election from MPC M Backes, P Berrang, L Hanzlik, I Pryvalov European Symposium on Research in Computer Security, 672-691, 2022 | 8 | 2022 |
Dependability Results for Power Grids with Decentralized Stabilization Strategies P Berrang, J Bogdoll, EM Hahn, A Hartmanns, H Hermanns | 8* | 2012 |
Quantifying privacy risks of prompts in visual prompt learning Y Wu, R Wen, M Backes, P Berrang, M Humbert, Y Shen, Y Zhang CISPA, 2024 | 5 | 2024 |
How well do you blend into the crowd?-d-convergence: A novel paradigm for quantifying privacy in the age of Big-Data M Backes, P Berrang, P Manoharan CoRR, 2015 | 5 | 2015 |