Ruimin Sun

According to our database, Ruimin Sun authored at least 31 papers between 2011 and 2024.

Collaborative distances:

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

2024

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice.

Tushar Nayan, Qiming Guo, Mohammed Alduniawi, Marcus Botacin, A. Selcuk Uluagac, Ruimin Sun

Proceedings of the 33rd USENIX Security Symposium, 2024

SHiFT: Semi-hosted Fuzz Testing for Embedded Applications.

Alejandro Mera, Changming Liu, Ruimin Sun, Engin Kirda, Long Lu

Proceedings of the 33rd USENIX Security Symposium, 2024

On the Feasibility of Detecting Model Poisoning Attacks in Real-time ML-based ICS.

Van T. Phan, Ruimin Sun, Mohammed A. Duniawi, Ruixue Lian, Harshin K. Asok, Arturo Leon

Proceedings of the 2024 Workshop on Re-design Industrial Control Systems with Security, 2024

2023

Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method.

Yue Xiao, Lei Yuan, Junyu Wang, Wenxin Hu, Ruimin Sun

Sensors, 2023

Introduction to the Special Issue on Memory-Based Malware and Other Unconventional Threats.

Marcus Botacin, Uriel Kosayev, Ruimin Sun

DTRAP, 2023

Decentralizing Cyber Physical Systems for Resilience: An Innovative Case Study from A Cybersecurity Perspective.

Xueping Liang, Charalambos Konstantinou, Sachin Shetty, Eranga Bandara, Ruimin Sun

Comput. Secur., 2023

Privacy-Preserving Oriented Design for Multi-Modality Models using FL.

Mohammed Alduniawi, Kemal Akkaya, Ruimin Sun

Proceedings of the 5th IEEE International Conference on Trust, 2023

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks.

Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury, Long Lu, Somesh Jha

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.

Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

The Case for Virtual PLC-enabled Honeypot Design.

Samin Yasar Chowdhury, Brandon Dudley, Ruimin Sun

Proceedings of the IEEE European Symposium on Security and Privacy, 2023

2022

Learning Fast and Slow: Propedeutica for Real-Time Malware Detection.

Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li

IEEE Trans. Neural Networks Learn. Syst., 2022

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 Trans. Dependable Secur. Comput., 2022

Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles.

Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira

IEEE Trans. Biom. Behav. Identity Sci., 2022

"Ghost" and Attention in Binary Neural Network.

Ruimin Sun, Wanbing Zou, Yi Zhan

IEEE Access, 2022

D-Box: DMA-enabled Compartmentalization for Embedded Applications.

Alejandro Mera, Yi Hui Chen, Ruimin Sun, Engin Kirda, Long Lu

Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

2021

Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles.

Luiz Giovanini, Fabrício Ceschin, Mirela Silva, Aokun Chen, Ramchandra Kulkarni, Sanjay Banda, Madison Lysaght, Heng Qiao, Nikolaos Sapountzis, Ruimin Sun, Brandon Matthews, Dapeng Oliver Wu, André Grégio, Daniela Oliveira

CoRR, 2021

Challenges and pitfalls in malware research.

Marcus Botacin, Fabricio Ceschin, Ruimin Sun, Daniela Oliveira, André Grégio

Comput. Secur., 2021

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps.

Zhichuang Sun, Ruimin Sun, Long Lu, Alan Mislove

Proceedings of the 30th USENIX Security Symposium, 2021

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses.

Ruimin Sun, Alejandro Mera, Long Lu, David R. Choffnes

Proceedings of the IEEE European Symposium on Security and Privacy, 2021

2020

ShadowNet: A Secure and Efficient System for On-device Model Inference.

Zhichuang Sun, Ruimin Sun, Long Lu, Somesh Jha

CoRR, 2020

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps.

Zhichuang Sun, Ruimin Sun, Long Lu

CoRR, 2020

MITOS: Optimal Decisioning for the Indirect Flow Propagation Dilemma in Dynamic Information Flow Tracking Systems.

Nikolaos Sapountzis, Ruimin Sun, Xuetao Wei, Yier Jin, Jedidiah R. Crandall, Daniela Oliveira

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2018

Leveraging Uncertainty for Effective Malware Mitigation.

Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira

CoRR, 2018

2017

The dose makes the poison - Leveraging uncertainty for effective malware detection.

Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2017

2016

Bear: A Framework for Understanding Application Sensitivity to OS (Mis) Behavior.

Ruimin Sun, Andrew Lee, Aokun Chen, Donald E. Porter, Matt Bishop, Daniela Oliveira

Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

2015

The Case for Unpredictability and Deception as OS Features.

Ruimin Sun, Matt Bishop, Natalie C. Ebner, Daniela Oliveira, Donald E. Porter

login Usenix Mag., 2015

The Case for Less Predictable Operating System Behavior.

Ruimin Sun, Donald E. Porter, Daniela Oliveira, Matt Bishop

Proceedings of the 15th Workshop on Hot Topics in Operating Systems, 2015

2014

TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis.

Ruimin Sun, Ye Tian, Xin Chen

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2012

Two combinatorial optimization problems for SNP discovery using base-specific cleavage and mass spectrometry.

Xin Chen, Qiong Wu, Ruimin Sun, Louxin Zhang

BMC Syst. Biol., 2012

Accurate detection of SNPs using base-specific cleavage and mass spectrometry.

Ruimin Sun, Xiang Gao, Nanyu Han, Qiong Wu, Yuguang Mu, Kai Tang, Xin Chen

Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011

Approximating the double-cut-and-join distance between unsigned genomes.

Xin Chen, Ruimin Sun, Jiadong Yu

BMC Bioinform., 2011