ML I: Federated Learning

Title Speakers Conference Tags
SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost Nishanth Chandran , Divya Obbattu USENIX Security-2022 - Boston, MA ML I: Federated Learning
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors Timothy Stevens , Christian Vincent USENIX Security-2022 - Boston, MA ML I: Federated Learning
Label Inference Attacks Against Vertical Federated Learning Chong Fu USENIX Security-2022 - Boston, MA ML I: Federated Learning
FLAME: Taming Backdoors in Federated Learning Thien Rieger USENIX Security-2022 - Boston, MA ML I: Federated Learning