research
∙
07/31/2023
Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?
Machine learning practitioners often fine-tune generative pre-trained mo...
share
research
∙
02/20/2022
Collusion Resistant Federated Learning with Oblivious Distributed Differential Privacy
Privacy-preserving federated learning enables a population of distribute...
research
∙
01/28/2022
Gradient Masked Averaging for Federated Learning
Federated learning is an emerging paradigm that permits a large number o...
research
∙
06/10/2021
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners
Vertical Federated Learning (VFL) refers to the collaborative training o...
research
∙
03/26/2021
Prior-Independent Auctions for the Demand Side of Federated Learning
Federated learning (FL) is a paradigm that allows distributed clients to...
research
∙
03/17/2021
Bias-Free FedGAN: A Federated Approach to Generate Bias-Free Datasets
Federated Generative Adversarial Network (FedGAN) is a communication-eff...
research
∙
10/22/2020
DPD-InfoGAN: Differentially Private Distributed InfoGAN
Generative Adversarial Networks (GANs) are deep learning architectures c...
research
∙
07/08/2020
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
Federated learning enables the development of a machine learning model a...
research
∙
02/19/2020
