FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in
LLMs

FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs

12 December 2023

Nathalie Baracaldo

ArXiv (abs)PDF HTML

Papers citing "FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs"

17 / 17 papers shown

Title
Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding Jiancan Wu Yancheng Yuan Jinda Lu Kai Zhang Alex Su Xiang Wang Xiangnan He MU KELM 155 8 0 30 Nov 2024
Threats, Attacks, and Defenses in Machine Unlearning: A Survey Ziyao Liu Huanyi Ye Chen Chen Yongsen Zheng K. Lam AAML MU 97 32 0 20 Mar 2024
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 124 628 0 15 Feb 2022
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 111 182 0 27 Sep 2021
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics Paula Czarnowska Yogarshi Vyas Kashif Shah 70 110 0 28 Jun 2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? Eric P. Lehman Sarthak Jain Karl Pichotta Yoav Goldberg Byron C. Wallace OOD MIACV 60 121 0 15 Apr 2021
Remember What You Want to Forget: Algorithms for Machine Unlearning Ayush Sekhari Jayadev Acharya Gautam Kamath A. Suresh FedML MU 86 314 0 04 Mar 2021
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models Daniel de Vassimon Manela D. Errington Thomas Fisher B. V. Breugel Pasquale Minervini 43 94 0 24 Jan 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection Binny Mathew Punyajoy Saha Seid Muhie Yimam Chris Biemann Pawan Goyal Animesh Mukherjee 120 578 0 18 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 501 1,943 0 14 Dec 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 66 313 0 02 May 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 72 264 0 24 Feb 2020
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 76 503 0 12 Nov 2019
Certified Data Removal from Machine Learning Models Chuan Guo Tom Goldstein Awni Y. Hannun Laurens van der Maaten MU 110 450 0 08 Nov 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 80 752 0 19 Jun 2019
The Frontiers of Fairness in Machine Learning Alexandra Chouldechova Aaron Roth FaML 194 416 0 20 Oct 2018
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,329 0 07 Oct 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.