← authors · overview

• Privacy-preserving medical image analysis
  2020 · 7 citations
• Complex-valued Federated Learning with Differential Privacy and MRI Applications
  2021 · 6 citations
• HyFed: A Hybrid Federated Framework for Privacy-preserving Machine Learning
  2021 · 3 citations
• Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
  2022 · 3 citations
• Differentially private federated deep learning for multi-site medical image segmentation
  2021 · 2 citations
• Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
  2024 · 2 citations
• Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning
  2022 · 1 citations
• Membership Inference Attacks Against Semantic Segmentation Models
  2022 · 1 citations
• Distributed Machine Learning and the Semblance of Trust
  2021
• Can collaborative learning be private, robust and scalable?
  2022
• Generalised Likelihood Ratio Testing Adversaries through the Differential Privacy Lens
  2022
• Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
  2023
• Cross-domain and Cross-dimension Learning for Image-to-Graph Transformers
  2024