BadVFL: Backdoor Attacks in Vertical Federated Learning.
LOKI: Large-scale Data Reconstruction Attack against Federated Learning through Model Manipulation.
Protecting Label Distribution in Cross-Silo Federated Learning.
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks.
SHERPA: Explainable Robust Algorithms for Privacy-preserved Federated Learning in Future Networks to Defend against Data Poisoning Attacks.
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information.
RoFL: Robustness of Secure Federated Learning.
Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning.
BayBFed: Bayesian Backdoor Defense for Federated Learning.
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems.
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning.
Scalable and Privacy-Preserving Federated Principal Component Analysis.
ELSA: Secure Aggregation for Federated Learning with Malicious Actors.
SNARKBlock: Federated Anonymous Blocklisting from Hidden Common Input Aggregate Proofs.
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning.
Last updated 9 months ago