Song Bian
Orcid: 0000-0003-0467-6203Affiliations:
- Beihang University, Beijing, China
- Kyoto University, Department of Communications and Computer Engineering, Japan (PhD 2019)
According to our database1,
Song Bian
authored at least 53 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
AutoHoG: Automating Homomorphic Gate Design for Large-Scale Logic Circuit Evaluation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2024
ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2024
APACHE: A Processing-Near-Memory Architecture for Multi-Scheme Fully Homomorphic Encryption.
CoRR, 2024
Proceedings of the Runtime Verification - 24th International Conference, 2024
ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
2023
Int. J. Inf. Sec., December, 2023
HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation.
IACR Cryptol. ePrint Arch., 2023
HE<sup>3</sup>DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption.
IACR Cryptol. ePrint Arch., 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
PIMA-LPN: Processing-in-memory Acceleration for Efficient LPN-based Post-Quantum Cryptography.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
HE3DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023
2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
VisualNet: An End-to-End Human Visual System Inspired Framework to Reduce Inference Latency of Deep Neural Networks.
IEEE Trans. Computers, 2022
Proc. VLDB Endow., 2022
AxRLWE: A Multilevel Approximate Ring-LWE Co-Processor for Lightweight IoT Applications.
IEEE Internet Things J., 2022
Oblivious Online Monitoring for Safety LTL Specification via Fully Homomorphic Encryption.
Proceedings of the Computer Aided Verification - 34th International Conference, 2022
Proceedings of the Approximate Computing, 2022
2021
APAS: Application-Specific Accelerators for RLWE-Based Homomorphic Linear Transformations.
IEEE Trans. Inf. Forensics Secur., 2021
IACR Cryptol. ePrint Arch., 2021
Automatic Parallelism Tuning for Module Learning with Errors Based Post-Quantum Key Exchanges on GPUs.
IACR Cryptol. ePrint Arch., 2021
Proceedings of the 30th USENIX Security Symposium, 2021
Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Proceedings of the WAHC '21: Proceedings of the 9th on Workshop on Encrypted Computing & Applied Homomorphic Cryptography, 2021
2020
FedNNNN: Norm-Normalized Neural Network Aggregation for Fast and Accurate Federated Learning.
CoRR, 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
AxMM: Area and Power Efficient Approximate Modular Multiplier for R-LWE Cryptosystem.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Clustering Approach for Solving Traveling Salesman Problems via Ising Model Based Solver.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
A Tuning-Free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
2019
PhD thesis, 2019
Hardware-Accelerated Secured Naïve Bayesian Filter Based on Partially Homomorphic Encryption.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Towards practical homomorphic email filtering: a hardware-accelerated secure naïve bayesian filter.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
2018
Coin Flipping PUF: A Novel PUF With Improved Resistance Against Machine Learning Attacks.
IEEE Trans. Circuits Syst. II Express Briefs, 2018
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018
Proceedings of the 55th Annual Design Automation Conference, 2018
Efficient worst-case timing analysis of critical-path delay under workload-dependent aging degradation.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018
2017
Utilization of Path-Clustering in Efficient Stress-Control Gate Replacement for NBTI Mitigation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017
Comparative study of path selection and objective function in replacing NBTI mitigation logic.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
LSTA: Learning-Based Static Timing Analysis for High-Dimensional Correlated On-Chip Variations.
Proceedings of the 54th Annual Design Automation Conference, 2017
2016
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016
Proceedings of the 25th IEEE Asian Test Symposium, 2016