De-amplifying Bias from Differential Privacy in Language Model Fine-tuning

7 February 2024

Papers citing "De-amplifying Bias from Differential Privacy in Language Model Fine-tuning"

5 / 5 papers shown

Title
The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination Z. Li AILaw SILM 39 34 0 21 Apr 2023
Counterfactual Data Augmentation improves Factuality of Abstractive Summarization Dheeraj Rajagopal Siamak Shakeri Cicero Nogueira dos Santos Eduard H. Hovy Chung-Ching Chang HILM 66 8 0 25 May 2022
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 138 268 0 25 Sep 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 264 1,798 0 14 Dec 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 201 607 0 03 Sep 2019