Amos Treiber
Amos Treiber
Rohde & Schwarz Cybersecurity GmbH
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Cited by
Cited by
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
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
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
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation
A Nautsch, J Patino, A Treiber, T Stafylakis, P Mizera, M Todisco, ...
Interspeech 2019, 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
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
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
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
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
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
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
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
Analyzing and Applying Cryptographic Mechanisms to Protect Privacy in Applications
A Treiber
Technische Universität Darmstadt, 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
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Articles 1–14