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• GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
  2020 · 30 citations
• Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
  2018 · 20 citations
• ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
  2021 · 13 citations
• Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data
  2022 · 6 citations
• CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization
  2020 · 4 citations
• FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations
  2023 · 3 citations
• NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA
  2024
• Client-specific Property Inference against Secure Aggregation in Federated Learning
  2023
• Privacy-Aware Document Visual Question Answering
  2023