2022
An Efficient DP-SGD Mechanism for Large Scale NLU Models
ICASSP 2022accepted
Recent advances in deep learning have drastically improved performance on many Natural Language Understanding (NLU) tasks. However, the data used to train NLU models may contain private information such as addresses or phone numbers, particularly when drawn from human subjects. It is desirable that…