Approximating the double-cut-and-join distance between unsigned genomes. - Xin Chen; Ruimin Sun; Jiadong Yu (BMC Bioinform., 2011)

Accurate detection of SNPs using base-specific cleavage and mass spectrometry. - Ruimin Sun; Xiang Gao 008; Nanyu Han; Qiong Wu; Yuguang Mu; Kai Tang; Xin Chen (BIBM, 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)

TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis. - Ruimin Sun; Ye Tian; Xin Chen (BIBM, 2014)

The Case for Less Predictable Operating System Behavior. - Ruimin Sun; Donald E. Porter; Daniela Oliveira 001; Matt Bishop (HotOS, 2015)

The Case for Unpredictability and Deception as OS Features. - Ruimin Sun; Matt Bishop; Natalie C. Ebner; Daniela Oliveira 001; Donald E. Porter (login Usenix Mag., 2015)

Bear: A Framework for Understanding Application Sensitivity to OS (Mis) Behavior. - Ruimin Sun; Andrew Lee; Aokun Chen; Donald E. Porter; Matt Bishop; Daniela Oliveira 001 (ISSRE, 2016)

The dose makes the poison - Leveraging uncertainty for effective malware detection. - Ruimin Sun; Xiaoyong Yuan; Andrew Lee; Matt Bishop; Donald E. Porter; Xiaolin Li 001; André Grégio; Daniela Oliveira 001 (DSC, 2017)

Leveraging Uncertainty for Effective Malware Mitigation. - Ruimin Sun; Xiaoyong Yuan; Andrew Lee; Matt Bishop; Donald E. Porter; Xiaolin Li 001; André Grégio; Daniela Oliveira 001 (CoRR, 2018)

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 001 (ICDCS, 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)

ShadowNet: A Secure and Efficient System for On-device Model Inference. - Zhichuang Sun; Ruimin Sun; Long Lu; Somesh Jha (CoRR, 2020)

SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses. - Ruimin Sun; Alejandro Mera; Long Lu; David R. Choffnes (EuroS&P, 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 (USENIX Security Symposium, 2021)

Challenges and pitfalls in malware research. - Marcus Botacin; Fabricio Ceschin; Ruimin Sun; Daniela Oliveira 001; André Grégio (Comput. Secur., 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; et al. (CoRR, 2021)

D-Box: DMA-enabled Compartmentalization for Embedded Applications. - Alejandro Mera; Yi Hui Chen; Ruimin Sun; Engin Kirda; Long Lu (NDSS, 2022)

"Ghost" and Attention in Binary Neural Network. - Ruimin Sun; Wanbing Zou; Yi Zhan (IEEE Access, 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; et al. (IEEE Trans. Biom. Behav. Identity Sci., 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 001; Andre Gregio; Daniela Oliveira 001 (IEEE Trans. Dependable Secur. Comput., 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 001; Xiaolin Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

The Case for Virtual PLC-enabled Honeypot Design. - Samin Yasar Chowdhury; Brandon Dudley; Ruimin Sun (EuroS&P Workshops, 2023)

Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems. - Xu Zheng 003; Tianchun Wang; Samin Yasar Chowdhury; Ruimin Sun; Dongsheng Luo (EuroS&P Workshops, 2023)

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks. - Zhichuang Sun; Ruimin Sun; Changming Liu; Amrita Roy Chowdhury 001; Long Lu; Somesh Jha (SP, 2023)

Privacy-Preserving Oriented Design for Multi-Modality Models using FL. - Mohammed Alduniawi; Kemal Akkaya; Ruimin Sun (TPS-ISA, 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)

Introduction to the Special Issue on Memory-Based Malware and Other Unconventional Threats. - Marcus Botacin; Uriel Kosayev; Ruimin Sun (DTRAP, 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)

RICSS'24: 2nd International Workshop on Re-design Industrial Control Systems with Security. - Ruimin Sun; Mu Zhang 001 (CCS, 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 S. Leon (RICSS@CCS, 2024)

SHiFT: Semi-hosted Fuzz Testing for Embedded Applications. - Alejandro Mera; Changming Liu; Ruimin Sun; Engin Kirda; Long Lu (USENIX Security Symposium, 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 (USENIX Security Symposium, 2024)

Training multi-bit Spiking Neural Network with Virtual Neurons. - Haoran Xu; Zonghua Gu 001; Ruimin Sun; De Ma (Neurocomputing, 2025)

Post-training quantization for efficient ANN-SNN conversion. - Ruimin Sun; De Ma; Gang Pan 001 (Neural Networks, 2025)