Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications

Ähnliche Einträge

• Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection
  von: Gabrielli, Edoardo, et al.
  Veröffentlicht: (2023)
• Poison with Style: A Practical Poisoning Attack on Code Large Language Models
  von: Tran, Khang, et al.
  Veröffentlicht: (2026)
• GShield: Mitigating Poisoning Attacks in Federated Learning
  von: M., Sameera K., et al.
  Veröffentlicht: (2025)
• Federated Anomaly Detection and Mitigation for EV Charging Forecasting Under Cyberattacks
  von: Babayomi, Oluleke, et al.
  Veröffentlicht: (2025)
• Local Environment Poisoning Attacks on Federated Reinforcement Learning
  von: Ma, Evelyn, et al.
  Veröffentlicht: (2023)