Ye Dong

Orcid: 0000-0002-2105-8047

According to our database¹, Ye Dong authored at least 35 papers between 2008 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes.

[BibT_eX]

[DOI]

CoRR, June, 2025

ChatIoT: Large Language Model-based Security Assistant for Internet of Things with Retrieval-Augmented Generation.

[BibT_eX]

[DOI]

Ye Dong

Yan Lin Aung

Sudipta Chattopadhyay

Jianying Zhou

CoRR, February, 2025

Generative AI for Internet of Things Security: Challenges and Opportunities.

[BibT_eX]

[DOI]

Sudipta Chattopadhyay

Jianying Zhou

CoRR, February, 2025

ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs.

[BibT_eX]

[DOI]

CoRR, January, 2025

MPCache: MPC-Friendly KV Cache Eviction for Efficient Private Large Language Model Inference.

[BibT_eX]

[DOI]

CoRR, January, 2025

Model predictive control for pose synchronization of satellite proximity via the Takagi-Sugeno fuzzy modeling method.

[BibT_eX]

[DOI]

Trans. Inst. Meas. Control, 2025

MD-SONIC: Maliciously-Secure Outsourcing Neural Network Inference With Reduced Online Communication.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Maliciously Secure Circuit Private Set Intersection via SPDZ-Compatible Oblivious PRF.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2025

Helix: Scalable Multi-Party Machine Learning Inference against Malicious Adversaries.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

VCR: Fast Private Set Intersection with Improved VOLE and CRT-Batching.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

MIZAR: Boosting Secure Three-Party Deep Learning with Co-Designed Sign-Bit Extraction and GPU Acceleration.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2025

FedShelter: Efficient privacy-preserving federated learning with poisoning resistance for resource-constrained IoT network.

[BibT_eX]

[DOI]

Comput. Networks, 2025

2024

PODI: A Private Object Detection Inference framework for autonomous vehicles.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2024

Few-Shot Relation Extraction Through Prompt With Relation Information and Multi-Level Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Access, 2024

GTree: GPU-friendly Privacy-preserving Decision Tree Training and Inference.

[BibT_eX]

[DOI]

Proceedings of the 23rd IEEE International Conference on Trust, 2024

Comet: Communication-Efficient Batch Secure Three-Party Neural Network Inference with Client-Aiding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

Roger: A Round Optimized GPU-Friendly Secure Inference Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

Lightweight Secure Aggregation for Personalized Federated Learning with Backdoor Resistance.

[BibT_eX]

[DOI]

Proceedings of the Annual Computer Security Applications Conference, 2024

2023

FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

PUMA: Secure Inference of LLaMA-7B in Five Minutes.

[BibT_eX]

[DOI]

CoRR, 2023

Practical and General Backdoor Attacks Against Vertical Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Distributed Fog Computing and Federated-Learning-Enabled Secure Aggregation for IoT Devices.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

ABNN<sup>2</sup>: secure two-party arbitrary-bitwidth quantized neural network predictions.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2021

Efficient Byzantine-Resilient Stochastic Gradient Desce.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Robust finite-time adaptive control algorithm for satellite fast attitude maneuver.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2020

EaSTFLy: Efficient and secure ternary federated learning.

[BibT_eX]

[DOI]

Comput. Secur., 2020

An Efficient 3-Party Framework for Privacy-Preserving Neural Network Inference.

[BibT_eX]

[DOI]

Proceedings of the Computer Security - ESORICS 2020, 2020

2019

Privacy-Preserving Distributed Machine Learning based on Secret Sharing.

[BibT_eX]

[DOI]

Ye Dong

Xiaojun Chen

Liyan Shen

IACR Cryptol. ePrint Arch., 2019

Privacy-Preserving Distributed Machine Learning Based on Secret Sharing.

[BibT_eX]

[DOI]

Proceedings of the Information and Communications Security - 21st International Conference, 2019

2018

Efficient and Private Set Intersection of Human Genomes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2008

Three-Dimensional Parallel Electromagnetic Code with Complex Geometry.

[BibT_eX]

[DOI]

Jun Chen

Ye Dong

Wenyuan Yang

Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008

Ye Dong

Timeline

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On csauthors.net:

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