Qi Liu

Affiliations:
  • Lehigh University, Bethlehem, PA, USA
  • Florida International University, Miami, FL, USA


According to our database1, Qi Liu authored at least 17 papers between 2018 and 2024.

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Bibliography

2024
Ants: Attacking Spatial Temporal Graph Learning Networks Structurally.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
Model Compression Hardens Deep Neural Networks: A New Perspective to Prevent Adversarial Attacks.
IEEE Trans. Neural Networks Learn. Syst., 2023

NeuroPots: Realtime Proactive Defense against Bit-Flip Attacks in Neural Networks.
Proceedings of the 32nd USENIX Security Symposium, 2023

2021
Safeguarding the Intelligence of Neural Networks with Built-in Light-weight Integrity MArks (LIMA).
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

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

Concurrent Weight Encoding-based Detection for Bit-Flip Attack on Neural Network Accelerators.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 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

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

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
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

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


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