Ruyi Ding
Ruyi Ding

Ruyi Ding

丁如毅

Assistant Professor

Division of Electrical and Computer Engineering

Louisiana State University

ruyiding@lsu.edu

AI Security Hardware Security Side-Channel Analysis
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Prospective Students

About

I am an Assistant Professor at the Division of Electrical and Computer Engineering at Louisiana State University. My research focuses on AI security and hardware security, specializing in neural network robustness, privacy preservation, and side-channel analysis.

I am actively looking for Ph.D. students for Fall 2026 and Spring 2027. Feel free to reach out if you are interested in AI security and hardware security!

News

  • Feb 2026 One Paper accepted to DAC 2026。
  • Dec 2025 Invited to serve as a TPC member for HOST 2026.
  • Dec 2025 Invited to serve as a TPC member for DAC 2026.
  • Aug 2025 Paper accepted to CCS 2025: MoEcho — side-channel attacks on Mixture-of-Experts LLMs.
  • May 2025 Invited to serve as a TPC member for ICCAD 2025.
  • Apr 2025 Received the HOST 2025 Travel Grant.
  • Apr 2025 Selected as a DAC 2025 Young Fellow.
  • Mar 2025 Received Northeastern University's 2025 Outstanding PhD Student Research Award.
  • Feb 2025 Received Northeastern PhD Network Travel Award.
  • Feb 2025 Paper accepted to HOST 2025 (Best Paper Nomination): MACPruning — dynamic operation pruning to mitigate side-channel DNN model extraction.
  • Feb 2025 Paper accepted to DAC 2025: Graph in the Vault — protecting edge GNN inference with Trusted Execution Environment.
  • Jan 2025 Awarded the Internet Society Fellowship at NDSS 2025.
  • Jan 2025 Joined Louisiana State University (LSU) as an Assistant Professor in the Division of Electrical and Computer Engineering.
  • Jan 2025 Actively recruiting PhD students for Fall 2026 in AI security and hardware security — feel free to reach out at ruyiding@lsu.edu.
  • Oct 2024 Paper accepted to NDSS 2025: Probe-Me-Not — protecting pre-trained encoders from malicious probing.
  • Sep 2024 Paper accepted to NeurIPS 2024: GraphCroc — cross-correlation autoencoder for graph structural reconstruction.
  • Jul 2024 Paper accepted to ECCV 2024: Non-transferable Pruning for Controlled Model Reuse.
  • Oct 2023 Paper accepted to ICCV 2023: VertexSerum — poisoning graph neural networks for link inference.
  • Mar 2023 EMShepherd received the Distinguished Paper Award at ASIACCS 2023.

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