Tao Liu
Orcid: 0000-0002-7535-444XAffiliations:
- Lehigh University, Bethlehem, PA, USA
- Lawrence Technological University, Southfield, MI, USA
- Florida International University, Miami, FL, USA (former)
According to our database1,
Tao Liu
authored at least 30 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
ACM Trans. Sens. Networks, March, 2024
2023
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference.
Proceedings of the International Conference on Machine Learning, 2023
2022
M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
2021
Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification.
Inf., 2021
SAC: A Novel Multi-hop Routing Policy in Hybrid Distributed IoT System based on Multi-agent Reinforcement Learning.
Proceedings of the 22nd International Symposium on Quality Electronic Design, 2021
2020
FPT-spike: a flexible precise-time-dependent single-spike neuromorphic computing architecture.
CCF Trans. High Perform. Comput., 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Defending Deep Learning-Based Biomedical Image Segmentation from Adversarial Attacks: A Low-Cost Frequency Refinement Approach.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020
2019
ACM J. Emerg. Technol. Comput. Syst., 2019
Deep-evasion: Turn deep neural network into evasive self-contained cyber-physical malware: poster.
Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, 2019
Proceedings of the International Conference on Computer-Aided Design, 2019
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
2018
TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018
CoRR, 2018
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018
SIN<sup>2</sup>: Stealth infection on neural network - A low-cost agile neural Trojan attack methodology.
Proceedings of the 2018 IEEE International Symposium on Hardware Oriented Security and Trust, 2018
Proceedings of the 55th Annual Design Automation Conference, 2018
Security analysis and enhancement of model compressed deep learning systems under adversarial attacks.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018
PT-spike: A precise-time-dependent single spike neuromorphic architecture with efficient supervised learning.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018
2017
A fast and ultra low power time-based spiking neuromorphic architecture for embedded applications.
Proceedings of the 18th International Symposium on Quality Electronic Design, 2017
MT-spike: A multilayer time-based spiking neuromorphic architecture with temporal error backpropagation.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017