Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy

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  CRF-Sub-pj: Enabling Metadata-private and Accountable Networks at Scale

  ZHAO, Q. (Principal Investigator / Project Coordinator)

  1/06/23 → …

  Project: Research

  • Large Language Model 100%
  • Metadata 60%
  • Federated machine learning 40%
  • Android 40%
  • side-channel 37%

• GRF: Towards Bridging the Last-mile Gap of Multi-party Collaborative Statistics

  WANG, C. (Principal Investigator / Project Coordinator)

  1/01/23 → …

  Project: Research

  • Federated machine learning 100%
  • Cryptography 89%
  • Differential Privacy 77%
  • Experimental Result 75%
  • Secret Sharing 75%

• RIF-Sub-pj: Secure and Incentivized Data Sharing with Enhanced Ownership for Decentralized Networks

  WANG, J. (Principal Investigator / Project Coordinator) & JIA, X. (Co-Principal Investigator)

  30/06/22 → …

  Project: Research

  • Metadata 100%
  • Large Language Model 76%
  • Privacy Preserving 72%
  • Learning System 67%
  • Differential Privacy 52%

• RFS: Building Privacy-assured and Scalable Encrypted Databases with Secure Enclave

  WANG, C. (Principal Investigator / Project Coordinator)

  1/01/22 → …

  Project: Research

  • Federated machine learning 100%
  • Blockchain 97%
  • Privacy Preserving 88%
  • Metadata 88%
  • Differential Privacy 74%

• RIF-ExtU-Lead: Enabling Secure and Efficient Cross-Silo Federated Learning at Scale

  Li, B. (Main Project Coordinator [External]) & WANG, C. (Principal Investigator / Project Coordinator)

  1/02/21 → …

  Project: Research

  • Blockchain 100%
  • Learning System 84%
  • Privacy Preserving 79%
  • Federated machine learning 76%
  • Differential Privacy 67%