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NDSS 2022 DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
NDSS 2022 Session 2C-4 Room
Backdoor Federated Learning | Lecture 74 (Part 1) | Applied Deep Learning (Supplementary)
SparseFed: Mitigation Model Poisoning Attacks in Federated Learning with Sparsification
A Data-Driven Defense against Edge-case Model Poisoning Attacks on Federated Learning
NDSS 2022 Session 2C-4 Q&A
Eugene Bagdasaryan: How to backdoor Federated learning
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning
NDSS 2022 FedCRI: Federated Mobile Cyber-Risk Intelligence
[shp4783] Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation
Secure Federated Learning in Adversarial Environments
SAIL Seminar - Poisoning Attacks and Defense Based on Synthetic Reduced Nearest Neighbors (S21)
![[shp4783] Detecting Poisoning Attacks on Federated Learning Using Gradient-Weighted Class Activation](https://img.youtube.com/vi/Nj0NHDwgLvk/hqdefault.jpg)
