Research
Funded Projects
Active Projects
National Science Foundation, PI, CNS Core: Small: Privacy-Preserving On-Device Intelligence in the IoT Era (CNS-2151238), $500K, 2022-2025.
National Science Foundation, Lead PI, Collaborative Research: SHF: Small: Artificial Intelligence of Things (AIoT): Theory, Architecture, and Algorithms (CCF-2221741), $409K, 2022-2025.
National Science Foundation, Co-PI, SaTC-EDU: Case Analysis for Security Education (CASE) (DGE-2247492), $400K, 2023-2026.
National Science Foundation, PI, Collaborative Research: SHF: Medium: Heterogeneous Architecture for Collaborative Machine Learning (CCF-2106754), $400K, 2021-2024.
Accenture Gift Award, PI, $50K.
Michigan Tech, Co-PI, Center of Excellence for Curriculum and Research in Accounting and Financial Technology (CE-CRAFT), $15K, 2024.
Michigan Tech, Co-PI, Center of Excellence for Business AI, $15K, 2024.
Completed Projects
MTU Research Excellence Fund Award, PI, HuskyPerception: Enabling AI-based Vehicle Perception for Autonomous Driving Safety in Adverse Weather Conditions, $29.9K, 2021-2023.
ORAU Ralph E. Powe Junior Faculty Enhancement Award, Sole PI, $5K, 2022-2023.
MTU College of Engineering Seed Grant, Co-PI (PI: Lan Zhang), COVID-19 activity management, $20K, 2021.
Research Topics
Trustworthy Machine Learning
Membership Inference Attacks and Defenses in Neural Network Pruning
Xiaoyong Yuan, Lan Zhang
USENIX Security Symposium, 2022, accepted
Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning
Xiaoyong Yuan, Xiyao Ma, Lan Zhang, Yuguang Fang, Dapeng Wu
IEEE Internet of Things Journal, 2021
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles
Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu
IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2022
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan, Pan He, Qile Zhu, Rajendra Rana Bhat, Xiaolin Li
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Adaptive Adversarial Attack on Scene Text Recognition
Xiaoyong Yuan, Pan He, Xiaolin Li
IEEE International Conference on Computer Communications (INFOCOM) BigSecurity Workshop, 2020.
Computer and Network Security
Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks
Xiaoyong Yuan, Lei Ding, Malek Ben Salem, Xiaolin Li, Dapeng Wu
EAI International Conference on Security and Privacy in Communication Networks (SecureComm), 2020.
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection
Ruimin Sun*, Xiaoyong Yuan*, Pan He, Qile Zhu, Aokun Chen, Andre Gregio, Daniela Oliveira, Xiaolin Li
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation
Ruimin Sun, Marcus Botacin, Nikolaos Sapountzis, Xiaoyong Yuan, Matt Bishop, Donald E Porter, Xiaolin Li, Andre Gregio, Daniela Oliveira
IEEE Transactions on Dependable and Secure Computing (TDSC), 2020.
DeepDefense: Identifying DDoS Attack via Deep Learning
Xiaoyong Yuan, Chuanhuang Li, Xiaolin Li
3rd IEEE International Conference on Smart Computing (SMARTCOMP), 2017.
Deep Learning and Its Applications
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection
Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan
International Conference on Pattern Recognition (ICPR), 2022, accepted
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Xiaoyong Yuan*, Zheng Feng*, Matthew Norton, Xiaolin Li
AAAI Conference on Artificial Intelligence (AAAI), 2019
DeepSky: Identifying Absorption Bumps via Deep Learning
Xiaoyong Yuan, Min Li, Sudeep Gaddam, Xiaolin Li, Yinan Zhao, Jingzhe Ma, Jian Ge
IEEE International Congress on Big Data (BigData Congress), 2016
Identifying Mg ii narrow absorption lines with deep learning
Yinan Zhao, Jian Ge, Xiaoyong Yuan, Tiffany Zhao, Cindy Wang, Xiaolin Li
Monthly Notices of the Royal Astronomical Society, 2019
Cloud Computing
DeepCloud: An Intelligent Platform by the Community and for the Community
Xiaoyong Yuan (lead student), Zheng Feng, Qile Zhu, Xiaolin Li
Analysis of Frequently Failing Tasks and Rescheduling Strategy in the Cloud System
Hongyan Tang, Ying Li, Tong Jia, Xiaoyong Yuan, Zhonghai Wu
International Journal of Distributed Systems and Technologies (IJDST), 2018
A Competitive Penalty Model for Availability Based Cloud SLA
Xiaoyong Yuan, Hongyan Tang, Ying Li, Tiancheng Liu, Zhonghai Wu
IEEE International Conference on Cloud Computing (CLOUD), 2015
An Analysis on Availability Commitment and Penalty in Cloud SLA
Xiaoyong Yuan, Ying Li, Tong Jia, Tiancheng Liu, Zhonghai Wu
Annual International Computers, Software & Applications Conference (COMPSAC), 2015
Dependability Analysis on OpenStack IaaS Cloud: Bug Analysis and Fault Injection
Xiaoyong Yuan, Ying Li, Zhonghai Wu, Tiancheng Liu
IEEE International Conference on Cloud Computing Technology and Science (CLOUDCOM), 2014