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ORCIDSong Bian 0001
Person information
- affiliation: Beihang University, Beijing, China
- affiliation (PhD 2019): Kyoto University, Department of Communications and Computer Engineering, Japan
Other persons with the same name
- Song Bian 0002
![[0000-0001-6892-454X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6892-454X")
— University of Wisconsin, Madison, WI, USA (and 2 more)
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2020 – today
- 2024
[j12]Zhenyu Guan, Ran Mao, Qianyun Zhang, Zhou Zhang, Zian Zhao, Song Bian:
AutoHoG: Automating Homomorphic Gate Design for Large-Scale Logic Circuit Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(7): 1971-1983 (2024)- [c36]Kotaro Matsuoka, Song Bian, Takashi Sato:
HOGE: Homomorphic Gate on An FPGA. ASPDAC 2024: 325-332 - [c35]Zhou Zhang, Song Bian, Zian Zhao, Ran Mao, Haoyi Zhou, Jiafeng Hua, Yier Jin, Zhenyu Guan:
ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption. CCS 2024: 4613-4627 - [c34]Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li:
Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. DAC 2024: 26:1-26:6 - [c33]Yuntao Wei, Xueyan Wang, Song Bian, Yicheng Huang, Weisheng Zhao, Yier Jin:
PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator. DAC 2024: 273:1-273:6 - [c32]Zhenyu Guan, Yongqing Zhu, Yicheng Huang, Luchang Lei, Xueyan Wang, Hongyang Jia, Yi Chen, Bo Zhang, Jin Dong, Song Bian:
ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration. DATE 2024: 1-6 - [c31]Song Bian, Zian Zhao, Zhou Zhang, Ran Mao, Kohei Suenaga, Yier Jin, Zhenyu Guan, Jianwei Liu:
HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation. NDSS 2024 - [c30]Masaki Waga, Kotaro Matsuoka, Takashi Suwa, Naoki Matsumoto, Ryotaro Banno, Song Bian, Kohei Suenaga:
Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption. RV 2024: 59-69 - [i16]Lin Ding, Song Bian, Penggao He, Yan Xu, Gang Qu, Jiliang Zhang:
APACHE: A Processing-Near-Memory Architecture for Multi-Scheme Fully Homomorphic Encryption. CoRR abs/2404.15819 (2024) - [i15]Masaki Waga, Kotaro Matsuoka, Takashi Suwa, Naoki Matsumoto, Ryotaro Banno, Song Bian, Kohei Suenaga:
Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption. CoRR abs/2405.16767 (2024) - [i14]Zhou Zhang, Song Bian, Zian Zhao, Ran Mao, Haoyi Zhou, Jiafeng Hua, Yier Jin, Zhenyu Guan:
ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2024: 1064 (2024) - [i13]Zhenyu Guan, Ran Mao, Qianyun Zhang, Zhou Zhang, Zian Zhao, Song Bian:
AutoHoG: Automating Homomorphic Gate Design for Large-Scale Logic Circuit Evaluation. IACR Cryptol. ePrint Arch. 2024: 1250 (2024) - 2023
- [j11]Zhenyu Guan, Lixin Zhang, Bohan Huang, Bihe Zhao, Song Bian:
Adaptive hyperparameter optimization for black-box adversarial attack. Int. J. Inf. Sec. 22(6): 1765-1779 (2023) - [c29]Song Bian, Zhou Zhang, Haowen Pan, Ran Mao, Zian Zhao, Yier Jin, Zhenyu Guan:
HE3DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption. CCS 2023: 2930-2944 - [c28]Lin Ding, Song Bian, Jiliang Zhang:
PIMA-LPN: Processing-in-memory Acceleration for Efficient LPN-based Post-Quantum Cryptography. DAC 2023: 1-6 - [c27]Yuntao Wei, Xueyan Wang, Song Bian, Weisheng Zhao, Yier Jin:
THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution. ICCAD 2023: 1-9 - [c26]Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao:
On Hyperdimensional Computing-based Federated Learning: A Case Study. IJCNN 2023: 1-8 - [i12]Song Bian, Zian Zhao, Zhou Zhang, Ran Mao, Kohei Suenaga, Yier Jin, Zhenyu Guan, Jianwei Liu:
HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation. IACR Cryptol. ePrint Arch. 2023: 1445 (2023) - [i11]Song Bian, Zhou Zhang, Haowen Pan, Ran Mao, Zian Zhao, Yier Jin, Zhenyu Guan:
HE3DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2023: 1446 (2023) - 2022
- [j10]Dur-e-Shahwar Kundi, Ayesha Khalid, Song Bian, Chenghua Wang, Máire O'Neill, Weiqiang Liu:
AxRLWE: A Multilevel Approximate Ring-LWE Co-Processor for Lightweight IoT Applications. IEEE Internet Things J. 9(13): 10492-10501 (2022) - [j9]Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, Fan Zhang:
HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database. Proc. VLDB Endow. 16(4): 601-614 (2022) - [j8]Tianchen Wang, Jiawei Zhang, Jinjun Xiong, Song Bian, Zheyu Yan, Meiping Huang, Jian Zhuang, Takashi Sato, Xiaowei Xu, Yiyu Shi:
VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks. IEEE Trans. Computers 71(11): 2717-2727 (2022) - [j7]Shumpei Morita, Song Bian, Michihiro Shintani, Takashi Sato:
Efficient Analysis for Mitigation of Workload-Dependent Aging Degradation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5515-5525 (2022) - [c25]Ryotaro Banno, Kotaro Matsuoka, Naoki Matsumoto, Song Bian, Masaki Waga, Kohei Suenaga:
Oblivious Online Monitoring for Safety LTL Specification via Fully Homomorphic Encryption. CAV (1) 2022: 447-468 - [p1]Dur-e-Shahwar Kundi, Ayesha Khalid, Song Bian, Weiqiang Liu:
Approximate Computing for Cryptography. Approximate Computing 2022: 313-331 - [i10]Ryotaro Banno, Kotaro Matsuoka, Naoki Matsumoto, Song Bian, Masaki Waga, Kohei Suenaga:
Oblivious Online Monitoring for Safety LTL Specification via Fully Homomorphic Encryption. CoRR abs/2206.03582 (2022) - 2021
- [j6]Song Bian, Dur-e-Shahwar Kundi, Kazuma Hirozawa, Weiqiang Liu, Takashi Sato:
APAS: Application-Specific Accelerators for RLWE-Based Homomorphic Linear Transformations. IEEE Trans. Inf. Forensics Secur. 16: 4663-4678 (2021) - [c24]Kotaro Matsuoka, Yusuke Hoshizuki, Takashi Sato, Song Bian:
Towards Better Standard Cell Library: Optimizing Compound Logic Gates for TFHE. WAHC@CCS 2021: 63-68 - [c23]Song Bian, Weiwen Jiang, Takashi Sato:
Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. DAC 2021: 1347-1350 - [c22]Tatsuki Ono, Song Bian, Takashi Sato:
Automatic Parallelism Tuning for Module Learning with Errors Based Post-Quantum Key Exchanges on GPUs. ISCAS 2021: 1-5 - [c21]Takashi Sato, Yuki Tanaka, Song Bian:
Clonable PUF: on the Design of PUFs That Share Equivalent Responses. ISCAS 2021: 1-5 - [c20]Kotaro Matsuoka, Ryotaro Banno, Naoki Matsumoto, Takashi Sato, Song Bian:
Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE. USENIX Security Symposium 2021: 4007-4024 - [i9]Tatsuki Ono, Song Bian, Takashi Sato:
Automatic Parallelism Tuning for Module Learning with Errors Based Post-Quantum Key Exchanges on GPUs. IACR Cryptol. ePrint Arch. 2021: 198 (2021) - [i8]Takashi Sato, Yuki Tanaka, Song Bian:
Clonable PUF: On the Design of PUFs That Share Equivalent Responses. IACR Cryptol. ePrint Arch. 2021: 341 (2021) - [i7]Song Bian, Dur-e-Shahwar Kundi, Kazuma Hirozawa, Weiqiang Liu, Takashi Sato:
APAS: Application-Specific Accelerators for RLWE-based Homomorphic Linear Transformations. IACR Cryptol. ePrint Arch. 2021: 1284 (2021) - 2020
- [c19]Yuki Kume, Song Bian, Takashi Sato:
A Tuning-Free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation. ASP-DAC 2020: 458-463 - [c18]Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato:
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition. CVPR 2020: 9400-9409 - [c17]Akira Dan, Riu Shimizu, Takeshi Nishikawa, Song Bian, Takashi Sato:
Clustering Approach for Solving Traveling Salesman Problems via Ising Model Based Solver. DAC 2020: 1-6 - [c16]Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato:
NASS: Optimizing Secure Inference via Neural Architecture Search. ECAI 2020: 1746-1753 - [c15]Dur-e-Shahwar Kundi, Song Bian, Ayesha Khalid, Chenghua Wang, Máire O'Neill, Weiqiang Liu:
AxMM: Area and Power Efficient Approximate Modular Multiplier for R-LWE Cryptosystem. ISCAS 2020: 1-5 - [c14]Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato:
BUNET: Blind Medical Image Segmentation Based on Secure UNET. MICCAI (2) 2020: 612-622 - [c13]Qian Lou, Song Bian, Lei Jiang:
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference. NeurIPS 2020 - [i6]Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato:
NASS: Optimizing Secure Inference via Neural Architecture Search. CoRR abs/2001.11854 (2020) - [i5]Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato:
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition. CoRR abs/2003.05328 (2020) - [i4]Qian Lou, Song Bian, Lei Jiang:
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference. CoRR abs/2006.04219 (2020) - [i3]Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato:
BUNET: Blind Medical Image Segmentation Based on Secure UNET. CoRR abs/2007.06855 (2020) - [i2]Kenta Nagura, Song Bian, Takashi Sato:
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning. CoRR abs/2008.04538 (2020) - [i1]Kotaro Matsuoka, Ryotaro Banno, Naoki Matsumoto, Takashi Sato, Song Bian:
Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE. CoRR abs/2010.09410 (2020)
2010 – 2019
- 2019
- [b1]Song Bian:
Realizing Homomorphic Secure Protocols through Cross-Layer Design Techniques. Kyoto University, Japan, 2019 - [j5]Song Bian, Masayuki Hiromoto, Takashi Sato:
Hardware-Accelerated Secured Naïve Bayesian Filter Based on Partially Homomorphic Encryption. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(2): 430-439 (2019) - [c12]Song Bian, Masayuki Hiromoto, Takashi Sato:
Towards practical homomorphic email filtering: a hardware-accelerated secure naïve bayesian filter. ASP-DAC 2019: 621-626 - [c11]Song Bian, Masayuki Hiromoto, Takashi Sato:
Filianore: Better Multiplier Architectures for LWE-based Post-Quantum Key Exchange. DAC 2019: 113 - [c10]Song Bian, Masayuki Hiromoto, Takashi Sato:
DArL: Dynamic Parameter Adjustment for LWE-based Secure Inference. DATE 2019: 1739-1744 - 2018
- [j4]Yuki Tanaka, Song Bian, Masayuki Hiromoto, Takashi Sato:
Coin Flipping PUF: A Novel PUF With Improved Resistance Against Machine Learning Attacks. IEEE Trans. Circuits Syst. II Express Briefs 65-II(5): 602-606 (2018) - [c9]Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato:
Efficient worst-case timing analysis of critical-path delay under workload-dependent aging degradation. ASP-DAC 2018: 631-636 - [c8]Song Bian, Masayuki Hiromoto, Takashi Sato:
DWE: decrypting learning with errors with errors. DAC 2018: 3:1-3:6 - [c7]Zuitoku Shin, Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato:
A study on NBTI-induced delay degradation considering stress frequency dependence. ISQED 2018: 251-256 - 2017
- [j3]Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato:
Utilization of Path-Clustering in Efficient Stress-Control Gate Replacement for NBTI Mitigation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(7): 1464-1472 (2017) - [j2]Song Bian, Shumpei Morita, Michihiro Shintani, Hiromitsu Awano, Masayuki Hiromoto, Takashi Sato:
Identification and Application of Invariant Critical Paths under NBTI Degradation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(12): 2797-2806 (2017) - [c6]Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato:
LSTA: Learning-Based Static Timing Analysis for High-Dimensional Correlated On-Chip Variations. DAC 2017: 66:1-66:6 - [c5]Song Bian, Masayuki Hiromoto, Takashi Sato:
SCAM: Secured content addressable memory based on homomorphic encryption. DATE 2017: 984-989 - [c4]Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato:
Comparative study of path selection and objective function in replacing NBTI mitigation logic. ISQED 2017: 426-431 - 2016
- [j1]Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato:
Fast Estimation of NBTI-Induced Delay Degradation Based on Signal Probability. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 99-A(7): 1400-1409 (2016) - [c3]Song Bian, Michihiro Shintani, Zheng Wang, Masayuki Hiromoto, Anupam Chattopadhyay, Takashi Sato:
Runtime NBTI Mitigation for Processor Lifespan Extension via Selective Node Control. ATS 2016: 234-239 - [c2]Song Bian, Michihiro Shintani, Shumpei Morita, Hiromitsu Awano, Masayuki Hiromoto, Takashi Sato:
Workload-Aware Worst Path Analysis of Processor-Scale NBTI Degradation. ACM Great Lakes Symposium on VLSI 2016: 203-208 - [c1]Song Bian, Michihiro Shintani, Shumpei Morita, Masayuki Hiromoto, Takashi Sato:
Nonlinear delay-table approach for full-chip NBTI degradation prediction. ISQED 2016: 307-312
Coauthor Index
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