Qi Liu

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Ants: Attacking Spatial Temporal Graph Learning Networks Structurally.

Ran Ran, Qi Liu, Nuo Xu, Ning Sui, Wujie Wen

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.

Qi Liu, Wujie Wen

IEEE Trans. Neural Networks Learn. Syst., 2023

NeuroPots: Realtime Proactive Defense against Bit-Flip Attacks in Neural Networks.

Qi Liu, Jieming Yin, Wujie Wen, Chengmo Yang, Shi Sha

Proceedings of the 32nd USENIX Security Symposium, 2023

2021

Safeguarding the Intelligence of Neural Networks with Built-in Light-weight Integrity MArks (LIMA).

Fateme S. Hosseini, Qi Liu, Fanruo Meng, Chengmo Yang, Wujie Wen

Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2021

Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles.

Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Orchestrating Medical Image Compression and Remote Segmentation Networks.

Zihao Liu, Sicheng Li, Yen-Kuang Chen, Tao Liu, Qi Liu, Xiaowei Xu, Yiyu Shi, Wujie Wen

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.

Qi Liu, Han Jiang, Tao Liu, Zihao Liu, Sicheng Li, Wujie Wen, Yiyu Shi

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.

Qi Liu, Wujie Wen, Yanzhi Wang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Stealing Your Data from Compressed Machine Learning Models.

Nuo Xu, Qi Liu, Tao Liu, Zihao Liu, Xiaochen Guo, Wujie Wen

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Monitoring the Health of Emerging Neural Network Accelerators with Cost-effective Concurrent Test.

Qi Liu, Tao Liu, Zihao Liu, Wujie Wen, Chengmo Yang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

StegoNet: Turn Deep Neural Network into a Stegomalware.

Tao Liu, Zihao Liu, Qi Liu, Wujie Wen, Wenyao Xu, Ming Li

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.

Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Zihao Liu, Qi Liu, Tao Liu, Nuo Xu, Xue Lin, Yanzhi Wang, Wujie Wen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Tao Liu, Nuo Xu, Qi Liu, Yanzhi Wang, Wujie Wen

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

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

Zihao Liu, Qi Liu, Tao Liu, Yanzhi Wang, Wujie Wen

CoRR, 2018

Enhancing the Robustness of Deep Neural Networks from "Smart" Compression.

Tao Liu, Zihao Liu, Qi Liu, Wujie Wen

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.

Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, Wujie Wen

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018