Fast Model Debias with Machine Unlearning

Fast Model Debias with Machine Unlearning

19 October 2023

Joey Tianyi Zhou

Papers citing "Fast Model Debias with Machine Unlearning"

19 / 19 papers shown

Title
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models Zhiting Fan Ruizhe Chen Zuozhu Liu 44 0 0 30 Apr 2025
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment Xiaotian Zhang Ruizhe Chen Yang Feng Zuozhu Liu 40 0 0 17 Apr 2025
ForgetMe: Evaluating Selective Forgetting in Generative Models Zhenyu Yu Mohd Yamani Inda Idris Pei Wang DiffM MU 32 0 0 17 Apr 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty Christoforos N. Spartalis T. Semertzidis Efstratios Gavves P. Daras MU 76 0 0 24 Mar 2025
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models Ruizhe Chen Wenhao Chai Zhifei Yang Xiaotian Zhang Joey Tianyi Zhou Tony Q. S. Quek Soujanya Poria Zuozhu Liu 48 0 0 06 Mar 2025
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 61 3 0 22 Jan 2025
Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification Changchang Sun Ren Wang Yihua Zhang Jinghan Jia Jiancheng Liu Gaowen Liu Sijia Liu Yan Yan AAML MU 93 0 0 21 Dec 2024
MU-Bench: A Multitask Multimodal Benchmark for Machine Unlearning Jiali Cheng Hadi Amiri BDL 33 3 0 21 Jun 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models Jiaqi Li Qianshan Wei Chuanyi Zhang Guilin Qi Miaozeng Du Yongrui Chen Sheng Bi Fan Liu VLM MU 67 12 0 21 May 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip H. S. Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 38 14 0 21 Feb 2024
MultiDelete for Multimodal Machine Unlearning Jiali Cheng Hadi Amiri MU 38 7 0 18 Nov 2023
Machine Unlearning Method Based On Projection Residual Zihao Cao Jianzong Wang Shijing Si Zhangcheng Huang Jing Xiao MU 72 6 0 30 Sep 2022
Achieving Fairness at No Utility Cost via Data Reweighing with Influence Peizhao Li Hongfu Liu TDI 25 45 0 01 Feb 2022
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 63 46 0 29 Nov 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 64 48 0 06 Aug 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 257 374 0 28 Feb 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 370 0 09 May 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 102 130 0 07 Feb 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 294 4,203 0 23 Aug 2019