Hossein Yalame M.Sc.
work +49 6151 16-27301
I am a doctoral researcher 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
- 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
CORE A/A* ranked venues marked in bold.
Arpita Patra, Thomas Schneider, Ajith Suresh, and Hossein Yalame. ABY2.0: Improved mixed-protocol secure two-party computation. In 30. USENIX Security Symposium (USENIX Security'21), USENIX, Vancouver, B.C., Canada, August 11-13, 2021. To appear. Full version: https://ia.cr/2020/1225. CORE rank A*. [ pdf | web ]
Thien Duc Nguyen, Phillip Rieger, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Ahmad-Reza Sadeghi, Thomas Schneider, and Shaza Zeitouni. FLGUARD: Secure and private federated learning, Jan 6, 2021. https://ia.cr/2021/025.
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. MP2ML: A mixed-protocol machine learning framework for private inference, Virtual Workshop, December 11, 2020. Poster presentation. [ web ]
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. MP2ML: A mixed-protocol machine learning framework for private inference (Extended Abstract). In Privacy-Preserving Machine Learning in Practice (PPMLP@CCS'20) – CCS'20 Workshop, pages 43–45, ACM, Orlando, USA, November 9, 2020. Short paper. [ DOI | pdf | web ]
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. MP2ML: A mixed-protocol machine learning framework for private inference. In 15. International Conference on Availability, Reliability and Security (ARES'20), pages 14:1–14:10, ACM, Virtual Event, Ireland, August 25-28, 2020. Full version: https://ia.cr/2020/721. Code: https://ngra.ph/he. Acceptance rate 21.3%. CORE rank B. [ DOI | pdf | web ]
Mohammad Haji Seyed Javadi, Hossein Yalame, and Hamid Reza Mahdiani. Small constant mean-error imprecise adder/multiplier for efficient VLSI implementation of mac-based applications. IEEE Transactions on Computers, 69(9):1376–1387, 2020. CORE rank A*. [ DOI | web ]
Hossein Yalame, Mohammad Hossein Farzam, and Siavash Bayat Sarmadi. 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), pages 23–34, Springer, Auckland, New Zealand, July 6-7, 2017. [ DOI | web ]
Hossein Yalame. An efficient secure two-party computation with a combination of GC and GMW. Master's thesis, Sharif University of Technology, Iran, 2017.
Hossein Yalame. Bio-inspired imprecise adder/multiplier for efficient implementation of MAC-based applications. Bachelor's thesis, Shahid Beheshti University, Iran, 2015.