Hossein Yalame M.Sc.
PhD Student
Contact
yalame@encrypto.cs.tu-...
work +49 6151 16-27301
Work
S2|20 210
Pankratiusstraße 2
64289
Darmstadt
I am a PhD student and member of the Cryptography and Privacy Engineering Group (ENCRYPTO) at the Department of Computer Science of Technische Universität Darmstadt, Germany.
My research focuses on compilers for cryptographic protocols.
Honors and Awards
- 2018/02 Best Researcher award from Sharif University of Technology
- 2015/09-2018/09 Scholarship and Membership of Iranian National Elites Foundation for Outstanding Academic Success
- 2015/02 Ranked 6th for M.Sc. studies in Computer Architecture among more than 30,000 participants
Work Experience
- Since 2019/06 Doctoral Researcher at ENCRYPTO
- 2017/06-2019/03 Doctoral Researcher at Sharif University of Technology
- 2016/01-2017/06 Researcher at 3S Lab
- 2014/10-2017/09 Researcher at ICVLSI lab
Studies
- 2015-2017 M.Sc. in Computer Engineering (with honors), Sharif University of Technology, Iran
- 2011-2015 B.Sc. in Computer Engineering (with honors), Shahid Beheshti University, Iran
Publications
2020
Boemer, Fabian and Cammarota, Rosario and Demmler, Daniel and Schneider, Thomas and Yalame, Mohammad Hossein (2020):
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Extended Abstract).
ACM, In: Privacy Preserving Machine Learning in Practice (PPMLP'20) – CCS 2020 Workshop, Orlando, USA, 09.-13.11., [Online-Edition: https://sci-workshops.alipay.com/CCS2020],
[Conference or Workshop Item]
Boemer, Fabian and Cammarota, Rosario and Demmler, Daniel and Schneider, Thomas and Yalame, Mohammad Hossein (2020):
MP2ML: A mixed-protocol machine learning framework for private inference.
In: 15th International Conference on Availability, Reliability and Security (ARES'20), virtual Conference, 25.-28.08, [Online-Edition: https://www.ares-conference.eu/detailed-program/],
[Conference or Workshop Item]
Boemer, Fabian and Cammarota, Rosario and Demmler, Daniel and Schneider, Thomas and Yalame, Mohammad Hossein (2020):
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference (Contributed Talk).
In: The 2nd Privacy-Preserving Machine Learning Workshop, virtual Conference, 16.08.2020, [Online-Edition: https://crypto-ppml.github.io/2020/],
[Conference or Workshop Item]
Javadi, Mohammad and Yalame, Mohammad Hossein and Mahdiani, Hamid Reza (2020):
Small Constant Mean-Error Imprecise Adder/Multiplier for Efficient VLSI Implementation of MAC-based Applications.
In: Transactions on Computers, 2020. IEEE, ISSN 0018-9340, e-ISSN 1557-9956,
DOI: 10.1109/TC.2020.2972549,
[Article]
2017
Yalame, Mohammad Hossein and Farzam, Mohammad Hossein and Sarmadi, Siavash Bayat (2017):
Secure Two-Party Computation Using an Efficient Garbled Circuit by Reducing Data Transfer.
In: 8. International Conference on Applications and Techniques in Information Security (ATIS'17), Springer, [Conference or Workshop Item]
Theses
- Yalame, Hossein (2017): An Efficient Secure Two-Party Computation With a Combination of GC and GMW. Sharif University of Technology, [Master Thesis]
- Yalame, Hossein (2015): Bio-inspired Imprecise Adder/Multiplier for Efficient Implementation of MAC-based Applications. Shahid Beheshti University, [Bachelor Thesis]