Ruyi Ding

Orcid: 0000-0002-0079-8265

According to our database1, Ruyi Ding authored at least 17 papers between 2018 and 2025.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs.
CoRR, August, 2025

Graph in the Vault: Protecting Edge GNN Inference with Trusted Execution Environment.
CoRR, February, 2025

Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

MACPruning: Dynamic Operation Pruning to Mitigate Side-Channel DNN Model Extraction.
Proceedings of the IEEE International Symposium on Hardware Oriented Security and Trust, 2025

2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Non-transferable Pruning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
FaultMorse: An automated controlled-channel attack via longest recurring sequence.
Comput. Secur., 2023

Focusing on Needs: A Chatbot-Based Emotion Regulation Tool for Adolescents.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Beatrice: A Chatbot for Collecting Psychoecological Data and Providing QA Capabilities.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

VertexSerum: Poisoning Graph Neural Networks for Link Inference.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

EMShepherd: Detecting Adversarial Samples via Side-channel Leakage.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

2022
Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling.
IEEE Trans. Intell. Transp. Syst., 2022

Ran$Net: An Anti-Ransomware Methodology based on Cache Monitoring and Deep Learning.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

A Cross-Platform Cache Timing Attack Framework via Deep Learning.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
Deep Fourier Kernel for Self-Attentive Point Processes.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Deep Attention Spatio-Temporal Point Processes.
CoRR, 2020

2018
Persistent Fault Analysis on Block Ciphers.
IACR Trans. Cryptogr. Hardw. Embed. Syst., 2018


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