Mingyi Zhou

According to our database, Mingyi Zhou authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

CustomDLCoder: Generating Pure Code Implementations to Replace On-Device DL Models.

Mingyi Zhou, Xiang Gao, Pei Liu, John Grundy, Chunyang Chen, Xiao Chen, Li Li

Dataset, March, 2024

DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators.

Mingyi Zhou, Xiang Gao, Xiao Chen, Chunyang Chen, John C. Grundy, Li Li

CoRR, 2024

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach.

Zhihao Lin, Wei Ma, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Yang Liu, Jun Wang, Li Li

CoRR, 2024

LLM for Mobile: An Initial Roadmap.

Daihang Chen, Yonghui Liu, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Shuai Wang, Xiao Chen, Tegawendé F. Bissyandé, Jacques Klein, Li Li

CoRR, 2024

Model-less Is the Best Model: Generating Pure Code Implementations to Replace On-Device DL Models.

Mingyi Zhou, Xiang Gao, Pei Liu, John Grundy, Chunyang Chen, Xiao Chen, Li Li

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Investigating White-Box Attacks for On-Device Models.

Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Concealing Sensitive Samples against Gradient Leakage in Federated Learning.

Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems.

Mingyi Zhou, Xiang Gao, Jing Wu, John C. Grundy, Xiao Chen, Chunyang Chen, Li Li

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

2022

Local Label Point Correction for Edge Detection of Overlapping Cervical Cells.

Jiawei Liu, Huijie Fan, Qiang Wang, Wentao Li, Yandong Tang, Danbo Wang, Mingyi Zhou, Li Chen

Frontiers Neuroinformatics, 2022

Defense against Privacy Leakage in Federated Learning.

Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi

CoRR, 2022

2021

Prediction Potential of Remote Sensing-Related Variables in the Topsoil Organic Carbon Density of Liaohekou Coastal Wetlands, Northeast China.

Shuai Wang, Mingyi Zhou, Qianlai Zhuang, Liping Guo

Remote. Sens., 2021

Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions.

Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li

CoRR, 2021

Deep Learning-Based Regional Sub-models Integration for Parkinson's Disease Diagnosis Using Diffusion Tensor Imaging.

Hengling Zhao, Chih-Chien Tsai, Ce Zhu, Mingyi Zhou, Jiun-Jie Wang, Yipeng Liu

Proceedings of the Image and Graphics - 11th International Conference, 2021

2020

Decision-based Universal Adversarial Attack.

Jing Wu, Mingyi Zhou, Shuaicheng Liu, Yipeng Liu, Ce Zhu

CoRR, 2020

ProbaNet: Proposal-balanced Network for Object Detection.

Jing Wu, Xiang Zhang, Mingyi Zhou, Ce Zhu

CoRR, 2020

Adversarial Imitation Attack.

Mingyi Zhou, Jing Wu, Yipeng Liu, Xiaolin Huang, Shuaicheng Liu, Xiang Zhang, Ce Zhu

CoRR, 2020

DaST: Data-Free Substitute Training for Adversarial Attacks.

Mingyi Zhou, Jing Wu, Yipeng Liu, Shuaicheng Liu, Ce Zhu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Tensor rank learning in CP decomposition via convolutional neural network.

Mingyi Zhou, Yipeng Liu, Zhen Long, Longxi Chen, Ce Zhu

Signal Process. Image Commun., 2019

Early diagnosis of Parkinson's disease from multiple voice recordings by simultaneous sample and feature selection.

Liaqat Ali, Ce Zhu, Mingyi Zhou, Yipeng Liu

Expert Syst. Appl., 2019

Reliable Parkinson's Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting Model.

Liaqat Ali, Ce Zhu, Noorbakhsh Amiri Golilarz, Ashir Javeed, Mingyi Zhou, Yipeng Liu

IEEE Access, 2019

An Automated Diagnostic System for Heart Disease Prediction Based on χ² Statistical Model and Optimally Configured Deep Neural Network.

Liaqat Ali, Atiqur Rahman, Aurangzeb Khan, Mingyi Zhou, Ashir Javeed, Javed Ali Khan

IEEE Access, 2019