research
∙
09/21/2023
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
We study the problem of in-context learning (ICL) with large language mo...
share
research
∙
07/21/2023
Project Florida: Federated Learning Made Easy
We present Project Florida, a system architecture and software developme...
research
∙
06/14/2023
Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts
One of the goals in Federated Learning (FL) is to create personalized mo...
research
∙
02/01/2023
Analyzing Leakage of Personally Identifiable Information in Language Models
Language Models (LMs) have been shown to leak information about training...
research
∙
01/06/2023
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
With tools like GitHub Copilot, automatic code suggestion is no longer a...
research
∙
10/25/2022
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
Privacy concerns have attracted increasing attention in data-driven prod...
research
∙
06/09/2022
Privacy Leakage in Text Classification: A Data Extraction Approach
Recent work has demonstrated the successful extraction of training data ...
research
∙
04/27/2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Federated learning (FL) enables edge-devices to collaboratively learn a ...
research
∙
03/28/2022
Understanding Questions that Arise When Working with Business Documents
While digital assistants are increasingly used to help with various prod...
research
∙
03/25/2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
In this paper we introduce "Federated Learning Utilities and Tools for E...
research
∙
10/01/2021
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Global models are trained to be as generalizable as possible, with user ...
research
∙
05/27/2021
On Privacy and Confidentiality of Communications in Organizational Graphs
Machine learned models trained on organizational communication data, suc...
research
∙
03/12/2021
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models
Neural language models are known to have a high capacity for memorizatio...
research
∙
01/14/2021
Privacy Analysis in Language Models via Training Data Leakage Report
Recent advances in neural network based language models lead to successf...
research
∙
01/27/2020