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May 2025 M T W T F S S « Apr 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 Archives
ISCAS2021: paper accepted
Posted in Conference/Workshop
Tagged lattice cryptography, physically unclonable function, post-quantum cryptography, security
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Oshima received the IEEE CEDA All Japan Joint Chapter Academic Research Award
Posted in Award
Tagged academic research award, CEDA, IEEE
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Paper accepted for publication in Japanese Journal of Applied Physics
Posted in Publication
Tagged compact model, Journal, JSAP, organic circuit, power device, reliability
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Paper accepted for publication in Japanese Journal of Applied Physics
Posted in Publication
Tagged Journal, JSAP, organic circuit, SRAM
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IEEE Kansai Chapter MFSK Award
Posted in Award
Tagged device model, electron device society, IEEE, organic
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SSDM2020
Posted in Conference/Workshop
Tagged JSAP, MOSFET model, organic, power electronics, reliability, SSDM
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WiPDA2020
Posted in Conference/Workshop
Tagged device model, high temperature, power electronics, SiC MOSFET
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USENIX2021: paper accepted
The following paper has been accepted for presentation in the USENIX Security Symposium 2021.
- Kotaro Matsuoka, Ryotaro Banno, Naoki Matsumoto, Takashi Sato, and Song Bian:
“Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE,”
USENIX Security Symposium (Vancouver, Canada), Aug. 2021 (to appear).
Posted in Conference/Workshop
Tagged homomorphic encryption, processor emulation, secure multi-party computing, security
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NeurIPS2020: paper accepted
The following paper has been accepted for presentation in the Conference on Neural Information Processing Systems (NeurIPS) 2020 (Acceptance rate 20.1%=1900/9454)．
This work was in collaboration with Prof. Lei Jiang at Indiana University Bloomington.
- Qian Lou, Song Bian, and Lei Jiang:
“Autoprivacy: Automated Layer-Wise Parameter Selection for Secure Neural Network Inference,” Conference on Neural Information Processing (NeurIPS) (Vancouver, Canada), Dec. 2020 (to appear).
Posted in Conference/Workshop
Tagged homomorphic encryption, Neural network, secure inference, security
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