Ruimin Sun

43 papers A* 8A 4Journal 23Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
SNN-Driven Event-Based Flow and Rotation Estimation with SO(3) Refinement.
AAAI
Ruimin Sun, Haoran Xu, De Ma
2025 J jnl
Black-Box Behavioral Distillation Breaks Safety Alignment in Medical LLMs.
CoRR
Sohely Jahan, Ruimin Sun
2025 J jnl
PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs.
CoRR
Jiaqi Xue, Yifei Zhao, Mansour Al Ghanim, Shangqian Gao, Ruimin Sun, Qian Lou, Mengxin Zheng
2025 J jnl
Post-training quantization for efficient ANN-SNN conversion.
Neural Networks
Ruimin Sun, De Ma, Gang Pan
2025 A* conf
RICSS'25: 3rd International Workshop on Re-design Industrial Control Systems with Security.
CCS
Ruimin Sun, Mu Zhang
2025 J jnl
SecureInfer: Heterogeneous TEE-GPU Architecture for Privacy-Critical Tensors for Large Language Model Deployment.
CoRR
Tushar Nayan, Ziqi Zhang, Ruimin Sun
2025 J jnl
Training multi-bit Spiking Neural Network with Virtual Neurons.
Neurocomputing
Haoran Xu, Zonghua Gu, Ruimin Sun, De Ma
2024 — conf
On the Feasibility of Detecting Model Poisoning Attacks in Real-time ML-based ICS.
RICSS@CCS
Van T. Phan, Ruimin Sun, Mohammed A. Duniawi, Ruixue Lian, Harshin K. Asok, Arturo S. Leon
2024 A* conf
RICSS'24: 2nd International Workshop on Re-design Industrial Control Systems with Security.
CCS
Ruimin Sun, Mu Zhang
2024 A* conf
SHiFT: Semi-hosted Fuzz Testing for Embedded Applications.
USENIX Security Symposium
Alejandro Mera, Changming Liu, Ruimin Sun, Engin Kirda, Long Lu
2024 A* conf
SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice.
USENIX Security Symposium
Tushar Nayan, Qiming Guo, Mohammed Alduniawi, Marcus Botacin, A. Selcuk Uluagac, Ruimin Sun
2023 J jnl
Decentralizing Cyber Physical Systems for Resilience: An Innovative Case Study from A Cybersecurity Perspective.
Comput. Secur.
Xueping Liang, Charalambos Konstantinou, Sachin Shetty, Eranga Bandara, Ruimin Sun
2023 J jnl
Introduction to the Special Issue on Memory-Based Malware and Other Unconventional Threats.
DTRAP
Marcus Botacin, Uriel Kosayev, Ruimin Sun
2023 — conf
Privacy-Preserving Oriented Design for Multi-Modality Models using FL.
TPS-ISA
Mohammed Alduniawi, Kemal Akkaya, Ruimin Sun
2023 — ed.
Proceedings of the 2024 Workshop on Re-design Industrial Control Systems with Security, RICSS 2024, Salt Lake City, UT, USA, October 14-18, 2024
RICSS@CSS
Ruimin Sun, Mu Zhang
2023 A* conf
ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks.
SP
Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury, Long Lu, Somesh Jha
2023 J jnl
Sparse Reconstruction of Sound Field Using Bayesian Compressive Sensing and Equivalent Source Method.
Sensors
Yue Xiao, Lei Yuan, Junyu Wang, Wenxin Hu, Ruimin Sun
2023 — conf
The Case for Virtual PLC-enabled Honeypot Design.
EuroS&P Workshops
Samin Yasar Chowdhury, Brandon Dudley, Ruimin Sun
2023 — conf
Unsafe Behavior Detection with Adaptive Contrastive Learning in Industrial Control Systems.
EuroS&P Workshops
Xu Zheng, Tianchun Wang, Samin Yasar Chowdhury, Ruimin Sun, Dongsheng Luo
2022 J jnl
"Ghost" and Attention in Binary Neural Network.
IEEE Access
Ruimin Sun, Wanbing Zou, Yi Zhan
2022 J jnl
A Praise for Defensive Programming: Leveraging Uncertainty for Effective Malware Mitigation.
IEEE Trans. Dependable Secur. Comput.
Ruimin Sun, Marcus Botacin, Nikolaos Sapountzis, Xiaoyong Yuan, Matt Bishop, Donald E. Porter, Xiaolin Li, Andre Gregio, Daniela Oliveira
2022 A* conf
D-Box: DMA-enabled Compartmentalization for Embedded Applications.
NDSS
Alejandro Mera, Yi Hui Chen, Ruimin Sun, Engin Kirda, Long Lu
2022 J jnl
D-Box: DMA-enabled Compartmentalization for Embedded Applications.
CoRR
Alejandro Mera, Yi Hui Chen, Ruimin Sun, Engin Kirda, Long Lu
2022 J jnl
Learning Fast and Slow: Propedeutica for Real-Time Malware Detection.
IEEE Trans. Neural Networks Learn. Syst.
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
2022 J jnl
Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles.
IEEE Trans. Biom. Behav. Identity Sci.
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
2021 J jnl
Challenges and pitfalls in malware research.
Comput. Secur.
Marcus Botacin, Fabricio Ceschin, Ruimin Sun, Daniela Oliveira, André Grégio
2021 J jnl
Computer Users Have Unique Yet Temporally Inconsistent Computer Usage Profiles.
CoRR
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
2021 A* conf
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps.
USENIX Security Symposium
Zhichuang Sun, Ruimin Sun, Long Lu, Alan Mislove
2021 A conf
SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses.
EuroS&P
Ruimin Sun, Alejandro Mera, Long Lu, David R. Choffnes
2020 A conf
MITOS: Optimal Decisioning for the Indirect Flow Propagation Dilemma in Dynamic Information Flow Tracking Systems.
ICDCS
Nikolaos Sapountzis, Ruimin Sun, Xuetao Wei, Yier Jin, Jedidiah R. Crandall, Daniela Oliveira
2020 J jnl
Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps.
CoRR
Zhichuang Sun, Ruimin Sun, Long Lu
2020 J jnl
ShadowNet: A Secure and Efficient System for On-device Model Inference.
CoRR
Zhichuang Sun, Ruimin Sun, Long Lu, Somesh Jha
2020 J jnl
SoK: Attacks on Industrial Control Logic and Formal Verification-Based Defenses.
CoRR
Ruimin Sun, Alejandro Mera, Long Lu, David R. Choffnes
2018 J jnl
Leveraging Uncertainty for Effective Malware Mitigation.
CoRR
Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira
2017 J jnl
Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection.
CoRR
Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li
2017 — conf
The dose makes the poison - Leveraging uncertainty for effective malware detection.
DSC
Ruimin Sun, Xiaoyong Yuan, Andrew Lee, Matt Bishop, Donald E. Porter, Xiaolin Li, André Grégio, Daniela Oliveira
2016 A conf
Bear: A Framework for Understanding Application Sensitivity to OS (Mis) Behavior.
ISSRE
Ruimin Sun, Andrew Lee, Aokun Chen, Donald E. Porter, Matt Bishop, Daniela Oliveira
2015 A conf
The Case for Less Predictable Operating System Behavior.
HotOS
Ruimin Sun, Donald E. Porter, Daniela Oliveira, Matt Bishop
2015 J jnl
The Case for Unpredictability and Deception as OS Features.
login Usenix Mag.
Ruimin Sun, Matt Bishop, Natalie C. Ebner, Daniela Oliveira, Donald E. Porter
2014 — conf
TAMeBS: A sensitive bisulfite-sequencing read mapping tool for DNA methylation analysis.
BIBM
Ruimin Sun, Ye Tian, Xin Chen
2012 — conf
Accurate detection of SNPs using base-specific cleavage and mass spectrometry.
BIBM
Ruimin Sun, Xiang Gao, Nanyu Han, Qiong Wu, Yuguang Mu, Kai Tang, Xin Chen
2012 J jnl
Two combinatorial optimization problems for SNP discovery using base-specific cleavage and mass spectrometry.
BMC Syst. Biol.
Xin Chen, Qiong Wu, Ruimin Sun, Louxin Zhang
2011 J jnl
Approximating the double-cut-and-join distance between unsigned genomes.
BMC Bioinform.
Xin Chen, Ruimin Sun, Jiadong Yu