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• DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
  2022 · 169 citations
• Baybfed: Bayesian Backdoor Defense For Federated Learning
  2023 · 29 citations
• ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks
  2023 · 4 citations
• FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
  2021 · 3 citations
• FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning
  2023 · 2 citations
• FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
  2023 · 1 citations
• FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
  2023 · 1 citations
• ZORRO: Zero-Knowledge Robustness and Privacy for Split Learning (Full Version)
  2025
• SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)
  2025
• Phantom: Untargeted Poisoning Attacks on Semi-Supervised Learning (Full Version)
  2024