Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing

Documenti analoghi

• Mixture of Robust Experts (MoRE):A Robust Denoising Method towards multiple perturbations
  di: Cheng, Hao, et al.
  Pubblicazione: (2021)
• FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
  di: Chen, Cheng, et al.
  Pubblicazione: (2020)
• Certified Adversarial Robustness via Partition-based Randomized Smoothing
  di: Goli, Hossein, et al.
  Pubblicazione: (2024)
• Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
  di: Bartoldson, Brian R., et al.
  Pubblicazione: (2024)
• Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
  di: Lyu, Saiyue, et al.
  Pubblicazione: (2024)