Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning AttacksShuli JiangSwanand Ravindra Kadheet al.2023NeurIPS 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning ModelsNathalie Baracaldo AngelFarhan Ahmedet al.2023S&P 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final ModelNathalie Baracaldo AngelKevin Eykholtet al.2022NeurIPS 2022
FLoRA: Single-shot Hyper-parameter Optimization for Federated LearningYi ZhouParikshit Ramet al.2021NeurIPS 2021
HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning FrameworkSyed ZawadAli Anwaret al.2023CCGrid 2023
Heterogeneity-Aware Adaptive Federated Learning SchedulingJingoo HanAhmad Faraz Khanet al.2022Big Data 2022
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned DataRunhua XuNathalie Baracaldoet al.2021AISec/CCS 2021
A hybrid approach to privacy-preserving federated learningStacey TruexThomas Steinkeet al.2019AISec/CCS 2019