Tao Liu

Orcid: 0000-0002-7535-444X

Affiliations:
  • 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 26 papers between 2017 and 2023.

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Bibliography

2023
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference.
Proceedings of the International Conference on Machine Learning, 2023

2021
Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification.
Inf., 2021

2020
FPT-spike: a flexible precise-time-dependent single-spike neuromorphic computing architecture.
CCF Trans. High Perform. Comput., 2020

Orchestrating Medical Image Compression and Remote Segmentation Networks.
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

Stealing Your Data from Compressed Machine Learning Models.
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

StegoNet: Turn Deep Neural Network into a Stegomalware.
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020

2019
Thread Batching for High-performance Energy-efficient GPU Memory Design.
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

Making the Fault-Tolerance of Emerging Neural Network Accelerators Scalable.
Proceedings of the International Conference on Computer-Aided Design, 2019

A Fault-Tolerant Neural Network Architecture.
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

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A system-level perspective to understand the vulnerability of deep learning systems.
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

Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples.
CoRR, 2018

Enhancing the Robustness of Deep Neural Networks from "Smart" Compression.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018

An ECC-Free MLC STT-RAM Based Approximate Memory Design for Multimedia Applications.
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

DeepN-JPEG: a deep neural network favorable JPEG-based image compression framework.
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


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