Ruyi Ding
Ruyi Ding

Ruyi Ding

丁如毅

Assistant Professor

Division of Electrical and Computer Engineering

Louisiana State University

ruyiding@lsu.edu

Secure AI Infra Model & Data Security Side-Channel & Confidential Computing Agentic AI Security
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About

I am an Assistant Professor at the Division of Electrical and Computer Engineering at Louisiana State University. My research focuses on Secure AI Infra — securing modern AI systems across the stack, from models and data to hardware accelerators and agentic AI platforms.

I am actively looking for Ph.D. students for Fall 2027. Feel free to reach out if you are interested in Secure AI Infra — model & data security, side-channel & confidential computing, and agentic AI security!

News

  • Jul 2026 One paper accepted to CCS 2026. Congratulations to Tianhong!
  • Jun 2026 One paper accepted to ECCV 2026. Congratulations to Xiaocheng!
  • 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 2027 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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