How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

12 October 2022

Yi Zeng

Himanshu Jahagirdar

Ming Jin

Papers citing "How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?"

5 / 5 papers shown

Title
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 34 2 0 11 Jun 2024
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 86 85 0 27 Jun 2023
ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms Minzhou Pan Yi Zeng Lingjuan Lyu X. Lin R. Jia AAML 16 35 0 22 Feb 2023
Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information Yi Zeng Minzhou Pan H. Just Lingjuan Lyu M. Qiu R. Jia AAML 18 168 0 11 Apr 2022
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014