FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMsSwanand Ravindra KadheAnisa Halimiet al.2023NeurIPS 2023
Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning AttacksShuli JiangSwanand Ravindra Kadheet al.2023NeurIPS 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated LearningTimothy CastigliaYi Zhouet al.2023ICML 2023
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning ModelsNathalie Baracaldo AngelFarhan Ahmedet al.2023S&P 2023
Single-shot General Hyper-parameter Optimization for Federated LearningYi ZhouParikshit Ramet al.2023ICLR 2023
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
Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final ModelNathalie Baracaldo AngelKevin Eykholtet al.2022NeurIPS 2022
Federated Learning: Recent Advances and New ChallengesShiqiang WangNathalie Baracaldo Angelet al.2022NeurIPS 2022