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• JigsawComm: Joint Semantic Feature Encoding and Transmission for Communication-Efficient Cooperative Perception
  2025
• Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks
  2018
• Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
  2018
• Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks
  2018
• NeuGuard: Lightweight Neuron-Guided Defense against Membership Inference Attacks
  2022
• Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
  2022
• PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference
  2022
• RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference
  2023
• PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment
  2023
• Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
  2023
• AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
  2023
• Secure and Efficient General Matrix Multiplication On Cloud Using Homomorphic Encryption
  2024
• SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud
  2024