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Amos Treiber
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Books and Theses
- 2022
- [b1]Amos Treiber:
Analyzing and Applying Cryptographic Mechanisms to Protect Privacy in Applications. Technical University of Darmstadt, Germany, 2022
Journal Articles
- 2024
- [j4]Seny Kamara, Abdelkarim Kati, Tarik Moataz, Jamie DeMaria, Andrew Park, Amos Treiber:
MAPLE: MArkov Process Leakage attacks on Encrypted Search. Proc. Priv. Enhancing Technol. 2024(1): 430-446 (2024) - 2020
- [j3]Thomas Schneider
, Amos Treiber
:
A Comment on Privacy-Preserving Scalar Product Protocols as Proposed in "SPOC". IEEE Trans. Parallel Distributed Syst. 31(3): 543-546 (2020) - 2019
- [j2]Andreas Nautsch
, Abelino Jiménez, Amos Treiber, Jascha Kolberg
, Catherine Jasserand
, Els Kindt, Héctor Delgado, Massimiliano Todisco, Mohamed Amine Hmani, Aymen Mtibaa, Mohammed Ahmed Abdelraheem, Alberto Abad
, Francisco Teixeira, Driss Matrouf, Marta Gomez-Barrero
, Dijana Petrovska-Delacrétaz
, Gérard Chollet, Nicholas W. D. Evans, Christoph Busch
:
Preserving privacy in speaker and speech characterisation. Comput. Speech Lang. 58: 441-480 (2019) - [j1]Amos Treiber, Andreas Nautsch
, Jascha Kolberg
, Thomas Schneider
, Christoph Busch
:
Privacy-preserving PLDA speaker verification using outsourced secure computation. Speech Commun. 114: 60-71 (2019)
Conference and Workshop Papers
- 2023
- [c8]Dominique Dittert
, Thomas Schneider
, Amos Treiber
:
Too Close for Comfort? Measuring Success of Sampled-Data Leakage Attacks Against Encrypted Search. CCSW@CCS 2023: 3-15 - 2022
- [c7]Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider
, Amos Treiber, Michael Yonli:
SoK: Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data. EuroS&P 2022: 90-108 - [c6]Amos Treiber, Dirk Müllmann, Thomas Schneider
, Indra Spiecker genannt Döhmann:
Data Protection Law and Multi-Party Computation: Applications to Information Exchange between Law Enforcement Agencies. WPES@CCS 2022: 69-82 - 2020
- [c5]Amos Treiber, Alejandro Molina, Christian Weinert
, Thomas Schneider
, Kristian Kersting:
CryptoSPN: Expanding PPML beyond Neural Networks. PPMLP@CCS 2020: 9-14 - [c4]Amos Treiber, Alejandro Molina, Christian Weinert
, Thomas Schneider
, Kristian Kersting:
CryptoSPN: Privacy-Preserving Sum-Product Network Inference. ECAI 2020: 1946-1953 - 2019
- [c3]Andreas Nautsch
, Jose Patino, Amos Treiber, Themos Stafylakis, Petr Mizera, Massimiliano Todisco, Thomas Schneider, Nicholas W. D. Evans:
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation. INTERSPEECH 2019: 2868-2872 - 2018
- [c2]Nikolaos P. Karvelas, Amos Treiber, Stefan Katzenbeisser:
Examining Leakage from Access Counts in ORAM Constructions. Krypto-Tag 2018 - [c1]Nikolaos P. Karvelas, Amos Treiber, Stefan Katzenbeisser:
Examining Leakage of Access Counts in ORAM Constructions. WPES@CCS 2018: 66-70
Informal and Other Publications
- 2023
- [i8]Seny Kamara, Abdelkarim Kati, Tarik Moataz, Jamie DeMaria, Andrew Park, Amos Treiber:
MAPLE: MArkov Process Leakage attacks on Encrypted Search. IACR Cryptol. ePrint Arch. 2023: 810 (2023) - [i7]Dominique Dittert, Thomas Schneider, Amos Treiber:
Too Close for Comfort? Measuring Success of Sampled-Data Leakage Attacks Against Encrypted Search. IACR Cryptol. ePrint Arch. 2023: 1465 (2023) - 2022
- [i6]Amos Treiber, Dirk Müllmann, Thomas Schneider, Indra Spiecker genannt Döhmann:
Data Protection Law and Multi-Party Computation: Applications to Information Exchange between Law Enforcement Agencies. IACR Cryptol. ePrint Arch. 2022: 1242 (2022) - 2021
- [i5]Seny Kamara, Abdelkarim Kati, Tarik Moataz, Thomas Schneider, Amos Treiber, Michael Yonli:
Cryptanalysis of Encrypted Search with LEAKER - A framework for LEakage AttacK Evaluation on Real-world data. IACR Cryptol. ePrint Arch. 2021: 1035 (2021) - 2020
- [i4]Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, Kristian Kersting:
CryptoSPN: Privacy-preserving Sum-Product Network Inference. CoRR abs/2002.00801 (2020) - [i3]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler
, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - 2019
- [i2]Thomas Schneider, Amos Treiber:
A Comment on Privacy-Preserving Scalar Product Protocols as proposed in "SPOC". CoRR abs/1906.04862 (2019) - [i1]Andreas Nautsch, Jose Patino, Amos Treiber, Themos Stafylakis, Petr Mizera, Massimiliano Todisco, Thomas Schneider, Nicholas W. D. Evans:
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation. CoRR abs/1907.03454 (2019)
Coauthor Index
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