Rui Ning

Orcid: 0009-0007-6516-5067

According to our database1, Rui Ning authored at least 35 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients.
CoRR, October, 2025

Heterogeneous Graph Backdoor Attack.
CoRR, June, 2025

FlashForge: Ultra-Efficient Prefix-Aware Attention for LLM Decoding.
CoRR, May, 2025

PrivShap: A Finer-granularity Network Linearization Method for Private Inference.
Trans. Mach. Learn. Res., 2025

Deep Incomplete Multi-view Clustering via Multi-level Imputation and Contrastive Alignment.
Neural Networks, 2025

PortFC: Designing High-performance Deadlock-free BCube Networks.
Proceedings of the 39th ACM International Conference on Supercomputing, 2025

Enabling Virtual Priority in Data Center Congestion Control.
Proceedings of the Twentieth European Conference on Computer Systems, 2025

2024
Sub-Band Backdoor Attack in Remote Sensing Imagery.
Algorithms, May, 2024

Online path planning of pork cutting robot using 3D laser point cloud.
Ind. Robot, 2024

Comet: A Communication-efficient and Performant Approximation for Private Transformer Inference.
CoRR, 2024

Demo Abstract: Toward the Convergence of the Next-Generation Wireless and AI.
Proceedings of the IEEE INFOCOM 2024, 2024

SPOT: Structure Patching and Overlap Tweaking for Effective Pipelining in Privacy-Preserving MLaaS with Tiny Clients.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

A Dual Transfer Framework for Cooperative Spectrum Sensing in Cognitive Radio.
Proceedings of the International Conference on Computing, Networking and Communications, 2024

Research on Low-Temperature Storage Refrigeration Technology Based on Factors of Biological Sample Damage.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024

MOSAIC: A Prune-and-Assemble Approach for Efficient Model Pruning in Privacy-Preserving Deep Learning.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

Posture Estimation and Adjustment for Robotic Precise Peg-in-Hole Based on Fuzzy Variable Admittance Control.
Proceedings of the 14th Asian Control Conference, 2024

SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
ScanFed: Scalable Behavior-Based Backdoor Detection in Federated Learning.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

BlockFed: A High-Performance and Trustworthy Blockchain-Based Federated Learning Framework.
Proceedings of the IEEE Global Communications Conference, 2023

2022
TrojanFlow: A Neural Backdoor Attack to Deep Learning-based Network Traffic Classifiers.
Proceedings of the IEEE INFOCOM 2022, 2022

Context-based Adblocker using Siamese Neural Network.
Proceedings of the 6th International Conference on Cryptography, Security and Privacy, 2022

Most and Least Retrievable Images in Visual-Language Query Systems.
Proceedings of the Computer Vision - ECCV 2022, 2022

ACADIA: Efficient and Robust Adversarial Attacks Against Deep Reinforcement Learning.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

Hunter: HE-Friendly Structured Pruning for Efficient Privacy-Preserving Deep Learning.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Optimal Deployment for Target-Barrier Coverage Problems in Wireless Sensor Networks.
IEEE Syst. J., 2021

Invisible Poison: A Blackbox Clean Label Backdoor Attack to Deep Neural Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

CLEAR: Clean-up Sample-Targeted Backdoor in Neural Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Secure Mobile Computing by Using Convolutional and Capsule Deep Neural Networks.
PhD thesis, 2020

DeepMag+: Sniffing mobile apps in magnetic field through deep learning.
Pervasive Mob. Comput., 2020

GangSweep: Sweep out Neural Backdoors by GAN.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
CapJack: Capture In-Browser Crypto-jacking by Deep Capsule Network through Behavioral Analysis.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

2018
DeepMag: Sniffing Mobile Apps in Magnetic Field through Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Puncturable Attribute-Based Encryption for Secure Data Delivery in Internet of Things.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Optimizing the heterogeneous network on-chip design in manycore architectures.
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017


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