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Song Bian, Zian Zhao, Zhou Zhang, Ran Mao, Kohei Suenaga, Yier Jin, Zhenyu Guan, and Jianwei Liu, HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation, Network and Distributed System Security Symposium (NDSS), February 2024 (to appear).
Song Bian, Zhou Zhang, Haowen Pan, Ran Mao, Zian Zhao, Yier Jin, and Zhenyu Guan, HE3DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption, ACM Conference on Computer and Communications Security (CCS), November 2023 (to appear).
Yuntao Wei, Xueyan Wang, Song Bian, Weisheng Zhao, and Yier Jin, THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), October 2023 (to appear).
Xuanle Ren, Le Su, Zhen Gu, Sheng Wang, Feifei Li, Yuan Xie, Song Bian, Chao Li, and Fan Zhang, HEDA: Multi-Attribute Unbounded Aggregation over Homomorphically Encrypted Database, International Conference on Very Large Data Bases (VLDB), September 2023.
Lin Ding, Song Bian, and Jiliang Zhang, PIMA-LPN: Processing-in-memory Acceleration for Efficient LPN-based Post-Quantum Cryptography, ACM/IEEE Design Automation Conference (DAC), July 2023.
Ryotaro Banno, Kotaro Matsuoka, Naoki Matsumoto, Song Bian, Masaki Waga, and Kohei Suenaga, Oblivious Online Monitoring for Safety LTL Specification via Fully Homomorphic Encryption, Computer Aided Verification (CAV), August 2022.
Tianchen Wang, Jiawei Zhang, Jinjun Xiong, Song Bian, Zheyu Yan, Meiping Huang, Jian Zhuang, Takashi Sato, Yiyu Shi, and Xiaowei Xu, VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks, IEEE Transactions on Computers, July 2022.
Shumpei Morita, Song Bian, Michihiro Shintani, and Takashi Sato, Efficient Analysis for Mitigation of Workload-dependent Aging Degradation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, February 2022.
Kotaro Matsuoka, Yusuke Hoshizuki, Takashi Sato and Song Bian, Towards better standard cell library: Optimizing compound logic gates for TFHE, Proc. ACM 9th Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC), November 2021.
Dur E Shahwar Kundi, Ayesha Khalid, Song Bian, Chenghua Wang, Maire O'Neill, and Weiqiang Liu, AxRLWE: A Multi-level Approximate Ring-LWE Co-processor for Lightweight IoT Applications, IEEE Internet of Things Journal, October 2021.
Song Bian, Dur E Shahwar Kundi, Kazuma Hirozawa, Weiqiang Liu, and Takashi Sato, APAS: Application-specific accelerators for RLWE-based homomorphic linear transformations, IEEE Transactions on Information Forensics and Security, September 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, August 2021.
Song Bian, Weiwen Jiang, and Takashi Sato, Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment, ACM/IEEE Design Automation Conference (DAC), July 2021.
Takashi Sato, Yuki Tanaka, Song Bian, Clonable PUF: on the Design of PUFs That Share Equivalent Responses, Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), May 2021.
Tatsuki Ono, Song Bian, Takashi Sato, Automatic Parallelism Tuning for Module Learning with Errors Based Post-Quantum Key Exchanges on GPUs, Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), May 2021.
Zhaoxing Qin, Song Bian, Kazunori Kuribara and Takashi Sato, Stable organic SRAM cell with p-type access transistors, Japanese Journal of Applied Physics (JJAP), February 2021.
Kunihiro Oshima, Song Bian, Kazunori Kuribara, and Takashi Sato, Separation of bias stress degradation factors in organic thin-film transistors, Japanese Journal of Applied Physics (JJAP), February 2021.
Kyohei Shimozato, Yohei Nakamura, Song Bian, and Takashi Sato, An electrothermal compact model of SiC MOSFETs for analyzing avalanche failure mechanism, Japanese Journal of Applied Physics (JJAP), February 2021.
Qian Lou, Song Bian, and Lei Jiang, AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference, Conference on Neural Information Processing (NeurIPS), December 2020.
Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, and Takashi Sato, BUNET: Blind Medical Image Segmentation Based on Secure UNET, International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), October 2020.
Akira Dan, Riu Shimizu, Takeshi Nishikawa, Song Bian and Takashi Sato, Clustering Approach for Solving Traveling Salesman Problems via Ising Model Based Solver, ACM/IEEE Design Automation Conference (DAC), July 2020.
Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, and Takashi Sato, NASS: Optimizing Secure Inference via Neural Architecture Search, European Conference on Artificial Intelligence (ECAI), June 2020.
Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, and Takashi Sato, ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition, Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
Dur E Shahwar Kundi, Song Bian, Ayesha Khalid, Chenghua Wang, Maire O'Neill, and Weiqiang Liu, AxMM: Area and Power Efficient Approximate Modulo Multiplier for R-LWE Cryptosystem, Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), May 2020.
Song Bian, Masayuki Hiromoto, Takashi Sato, Filianore: Better Multiplier Architectures for LWE-based Post-Quantum Key Exchange, Proc. of ACM/IEEE Design Automation Conference (DAC), June 2019.
Song Bian, Masayuki Hiromoto, Takashi Sato, DArL: Dynamic Parameter Adjustment for LWE-based Secure Inference, Proc. of Design, Automation & Test in Europe (DATE), March 2019.
Song Bian, Masayuki Hiromoto, Takashi Sato, Hardware-Accelerated Secured Naive Bayesian Filter Based on Partially Homomorphic Encryption, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, February 2019.
Song Bian, Masayuki Hiromoto, Takashi Sato, Towards Practical Homomorphic Email Filtering: A Hardware-Accelerated Secure Naive Bayesian Filter, Proc. of Asia and South Pacific Design Automation Conference (ASP-DAC), January 2019.
Song Bian, Masayuki Hiromoto, Takashi Sato, DWE: Decrypting Learning with Errors with Errors, Proc. of ACM/IEEE Design Automation Conference (DAC), June 2018.
Yuki Tanaka, Song Bian, Masayuki Hiromoto, Takashi Sato, Coin Flipping PUF: a New PUF with Improved Resistance Against Machine Learning Attacks, Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), May 2018.
Yuki Tanaka, Song Bian, Masayuki Hiromoto, Takashi Sato, Coin Flipping PUF: A Novel PUF with Improved Resistance against Machine Learning Attacks, IEEE Transactions Circuits and Systems II: Express Briefs, May 2018.
Zuitoku Shin, Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato, A Study on NBTI-induced Delay Degradation Considering Stress Frequency Dependence, Proc. of International Symposium on Quality Electronic Design (ISQED), March 2018.
Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato, Efficient exploration of worst case workload and timing degradation under NBTI, Proc. of Asia and South Pacific Design Automation Conference (ASP-DAC), January 2018.
Song Bian, Shumpei Morita, Michihiro Shintani, Hiromitsu Awano, Masayuki Hiromoto, Takashi Sato, Identification and Application of Invariant Critical Paths under NBTI Degradation, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, December 2017.
Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato, Utilization of Path-Clustering in Efficient Stress-Control Gate Replacement for NBTI Mitigation, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, July 2017.
Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato, LSTA: Learning-Based Static Timing Analysis for High-Dimensional Correlated On-Chip Variations, Proc. of ACM/IEEE Design Automation Conference (DAC), June 2017.
Song Bian, Masayuki Hiromoto, Takashi Sato, SCAM: Secured Content Addressable Memory Based on Homomorphic Encryption, Proc. of Design, Automation & Test in Europe (DATE), March 2017.
Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato, Comparative Study of Path Selection and Objective Function in Replacing NBTI Mitigation Logic, Proc. of International Symposium on Quality Electronic Design (ISQED), March 2017.
Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato, Representative Path Approach for Time-Efficient NBTI Mitigation Logic Replacement, Proc. of IEEE/ACM Workshop on Variability Modeling and Characterization (VMC), November 2016.
Song Bian, Michihiro Shintani, Zheng Wang, Masayuki Hiromoto, Anupam Chattopadhyay, Takashi Sato, Runtime NBTI Mitigation for Processor Lifespan Extension via Selective Node Control, Proc. of IEEE Asian Test Symposium (ATS), November 2016.
Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato, Fast Estimation of NBTI-Induced Delay Degradation Based on Signal Probability, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, July 2016.
Song Bian, Michihiro Shintani, Shumpei Morita, Hiromitsu Awano, Masayuki Hiromoto, Takashi Sato, Workload-Aware Worst Path Analysis of Processor-Scale NBTI Degradation, Proc. of Great Lakes Symposium on VLSI (GLSVLSI), May 2016.
Song Bian, Michihiro Shintani, Shumpei Morita, Masayuki Hiromoto, Takashi Sato, Nonlinear Delay-Table Approach for Full-Chip NBTI Degradation Prediction, Proc. of International Symposium on Quality Electronic Design (ISQED), March 2016.
Song Bian, Michihiro Shintani, Zheng Wang, Masayuki Hiromoto, Anupam Chattopadhyay, Takashi Sato, Mitigation of NBTI-induced Timing Degradation in Processor, Proc. of ACM International Workshop on Timing Issues in the Specification and Synthesis of Digital Systems (TAU), March 2016.
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