| Preserving privacy in speaker and speech characterisation A Nautsch, A Jiménez, A Treiber, J Kolberg, C Jasserand, E Kindt, ... Computer Speech & Language 58, 441-480, 2019 | 133 | 2019 |
| SoK: Cryptanalysis of Encrypted Search with LEAKER–A framework for LEakage AttacK Evaluation on Real-world data S Kamara, A Kati, T Moataz, T Schneider, A Treiber, M Yonli IEEE European Symposium on Security and Privacy (EuroS&P'22), 2022 | 35 | 2022 |
| Privacy-preserving PLDA speaker verification using outsourced secure computation A Treiber, A Nautsch, J Kolberg, T Schneider, C Busch Speech Communication 114, 60-71, 2019 | 28 | 2019 |
| Privacy-Preserving Speaker Recognition with Cohort Score Normalisation A Nautsch, J Patino, A Treiber, T Stafylakis, P Mizera, M Todisco, ... Interspeech 2019, 2019 | 19 | 2019 |
| Trustworthy AI inference systems: An industry research view R Cammarota, M Schunter, A Rajan, F Boemer, Á Kiss, A Treiber, ... arXiv preprint arXiv:2008.04449, 2020 | 14 | 2020 |
| Data Protection Law and Multi-Party Computation: Applications to Information Exchange between Law Enforcement Agencies A Treiber, D Müllmann, T Schneider, I Spiecker genannt Döhmann Workshop on Privacy in the Electronic Society (WPES'22), 2022 | 12 | 2022 |
| CryptoSPN: Privacy-preserving Sum-Product Network Inference A Treiber, A Molina, C Weinert, T Schneider, K Kersting 24. European Conference on Artificial Intelligence (ECAI'20), 2020 | 10 | 2020 |
| A Comment on Privacy-Preserving Scalar Product Protocols as proposed in" SPOC" T Schneider, A Treiber IEEE Transactions on Parallel and Distributed Systems 31 (3), 543-546, 2020 | 8 | 2020 |
| Privacy-Preserving Speech Processing via STPC and TEEs (poster) SP Bayerl, F Brasser, C Busch, T Frassetto, P Jauernig, J Kolberg, ... 2. Privacy Preserving Machine Learning (PPML'19) – CCS 2019 Workshop, 2019 | 7* | 2019 |
| MAPLE: MArkov Process Leakage attacks on Encrypted Search S Kamara, A Kati, J DeMaria, T Moataz, A Park, A Treiber Proceedings on Privacy Enhancing Technologies (PoPETs), 2024 | 4 | 2024 |
| CryptoSPN: Expanding PPML beyond Neural Networks (Extended Abstract) A Treiber, A Molina, C Weinert, T Schneider, K Kersting Privacy-Preserving Machine Learning in Practice (PPMLP) - CCS'20 Workshop, 2020 | 2* | 2020 |
| Too Close for Comfort? Measuring Success of Sampled-Data Leakage Attacks Against Encrypted Search D Dittert, T Schneider, A Treiber Cloud Computing Security Workshop (CCSW), 2023 | 1 | 2023 |
| Evaluating Leakage Attacks Against Relational Encrypted Search P Ehrler, A Kati, T Schneider, A Treiber Cloud Computing Security Workshop (CCSW), 2024 | | 2024 |
| Einfach quantensicher: Integration von Post-Quanten-Kryptografie mit der Kryptobibliothek Botan F Albert, R Meusel, A Treiber Deutscher IT-Sicherheitskongress, 2024 | | 2024 |
| Analyzing and Applying Cryptographic Mechanisms to Protect Privacy in Applications A Treiber Technische Universität Darmstadt, 2022 | | 2022 |
| Examining Leakage of Access Counts in ORAM Constructions NP Karvelas, A Treiber, S Katzenbeisser Proceedings of the 2018 Workshop on Privacy in the Electronic Society, 66-70, 2018 | | 2018 |
