2020

Treiber, Amos and Molina, Alejandro and Weinert, Christian and Schneider, Thomas and Kersting, Kristian (2020):
CryptoSPN: Expanding PPML beyond Neural Networks.
ACM, Privacy Preserving Machine Learning in Practice (PPMLP'20) – CCS 2020 Workshop, virtual Conference, 09.-13.11.20202, ISBN 978-1-4503-8088-1,
[Conference or Workshop Item]

Treiber, Amos and Molina, Alejandro and Weinert, Christian and Schneider, Thomas and Kersting, Kristian (2020):
CryptoSPN: Expanding PPML beyond Neural Networks (Contributed Talk).
The 2nd Privacy-Preserving Machine Learning Workshop, virtual Conference, 16.08.2020, [Conference or Workshop Item]

Cammarota, Rosario and Schunter, Matthias and Rajan, Anand and Boemer, Fabian and Kiss, Ágnes and Treiber, Amos and Weinert, Christian and Schneider, Thomas and Stapf, Emmanuel and Sadeghi, Ahmad-Reza and Demmler, Daniel and Chen, Huili and Hussain, Siam Umar and Riazi, M. Sadegh and Koushanfar, Farinaz and Gupta, Saransh and Rosing, Simunic (2020):
Trustworthy AI Inference Systems: An Industry Research View.
In: arXiv/Computer Science/Cryptography and Security, Version 1, [Report]

Schneider, Thomas and Treiber, Amos (2020):
A Comment on Privacy-Preserving Scalar Product Protocols as proposed in "SPOC".
In: IEEE Transactions on Parallel and Distributed Systems, IEEE, DOI: 10.1109/TPDS.2019.2939313,
[Article]

Treiber, Amos and Molina, Alejandro and Weinert, Christian and Schneider, Thomas and Kersting, Kristian (2020):
CryptoSPN: Privacy-preserving Sum-Product Network Inference.
24th European Conference on Artificial Intelligence (ECAI'20), Santiago de Compostela, 8.-12. June 2020, [Conference or Workshop Item]

2019

Bayerl, Sebastian P. and Brasser, Ferdinand and Busch, Christoph and Frassetto, Tommaso and Jauernig, Patrick and Kolberg, Jascha and Nautsch, Andreas and Riedhammer, Korbinian and Sadeghi, Ahmad-Reza and Schneider, Thomas and Stapf, Emmanuel and Treiber, Amos and Weinert, Christian (2019):
Privacy-preserving speech processing via STPC and TEEs (Poster).
2. Privacy Preserving Machine Learning (PPML) – CCS 2019 Workshop, London, 15. November 2019, [Conference or Workshop Item]

Treiber, Amos and Nautsch, Andreas and Kolberg, Jascha and Schneider, Thomas and Busch, Christoph (2019):
Privacy-preserving PLDA speaker verification using outsourced secure computation.
In: Speech Communication, Elsevier, DOI: 10.1016/j.specom.2019.09.004,
[Article]

Nautsch, Andreas and Patino, Jose and Treiber, Amos and Stafylakis, Themos and Mezira, Petr and Todisco, Massimiliano and Schneider, Thomas and Evans, Nicholas (2019):
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation.
Interspeech 2019, Graz, Austria, 15.-19.09.2019, [Conference or Workshop Item]

Nautsch, Andreas and Jiménez, Abelino and Treiber, Amos and Kolberg, Jascha and Jasserand, Catherine and Kindt, Els and Delgado, Héctor and Todisco, Massimiliano and Hmani, Mohamed Amine and Mtibaa, Aymen and Abdelraheem, Mohammed Ahmed and Abad, Alberto and Teixeira, Francisco and Matrouf, Driss and Gomez-Barrero, Marta and Petrovska-Delacrétaz, Dijana and Chollet, Gérard and Evans, Nicholas and Schneider, Thomas and Bonastre, Jean-François and Raj, Bhiksha and Trancoso, Isabel and Busch, Christoph (2019):
Preserving Privacy in Speaker and Speech Characterisation.
In: Computer Speech and Language, Elsevier, DOI: 10.1016/j.csl.2019.06.001,
[Article]

2018

Karvelas, Nikolaos and Treiber, Amos and Katzenbeisser, Stefan (2018):
Examining Leakage of Access Counts in ORAM Constructions.
In: 17. Workshop on Privacy in the Electronic Society (WPES’18), pp. 66-70,
ACM, DOI: 10.1145/3267323.3268963,
[Conference or Workshop Item]

Karvelas, Nikolaos and Treiber, Amos and Katzenbeisser, Stefan (2018):
Examining Leakage of Access Counts in ORAM Constructions.
In: 29. Workshop der Fachgruppe Kryptographie in der Gesellschaft für Informatik (Kryptotag),
Fachgruppe Kryptographie in der Gesellschaft für Informatik (GI), Bosch Renningen, Germany, 6.-7.9.2018, [Conference or Workshop Item]

Treiber, Amos (2018):
Access Count Leakage in Oblivious RAMs.
TU Darmstadt, [Master Thesis]

2015

Treiber, Amos (2015):
Searchable Encryption.
Universität Mannheim & Ruprecht-Karls Universität Heidelberg, [Bachelor Thesis]