Toward Byzantine-Robust Decentralized Federated Learning.
Cross-silo Federated Learning with Record-level Personalized Differential Privacy.
Not One Less: Exploring Interplay between User Profiles and Items in Untargeted Attacks against Federated Recommendation.
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses.
Two-Tier Data Packing in RLWE-based Homomorphic Encryption for Secure Federated Learning.
Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy.
Samplable Anonymous Aggregation for Private Federated Data Analysis.
martFL: Enabling Utility-Driven Data Marketplace with a Robust and Verifiable Federated Learning Architecture.
Turning Privacy-preserving Mechanisms against Federated Learning.
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks.
MESAS: Poisoning Defense for Federated Learning Resilient against Adaptive Attackers.
Federated Boosted Decision Trees with Differential Privacy.
CERBERUS: Exploring Federated Prediction of Security Events.
Eluding Secure Aggregation in Federated Learning via Model Inconsistency.
EIFFeL: Ensuring Integrity for Federated Learning.
Last updated 9 months ago