Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation

19 June 2024

Papers citing "Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation"

6 / 6 papers shown

Title
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models Yulei Qin Yuncheng Yang Pengcheng Guo Gang Li Hang Shao Yuchen Shi Zihan Xu Yun Gu Ke Li Xing Sun ALM 68 11 0 31 Dec 2024
Efficient Adversarial Training in LLMs with Continuous Attacks Sophie Xhonneux Alessandro Sordoni Stephan Günnemann Gauthier Gidel Leo Schwinn AAML 37 43 0 24 May 2024
Efficient Adversarial Training With Data Pruning Maximilian Kaufmann Yiren Zhao Ilia Shumailov Robert D. Mullins Nicolas Papernot AAML 30 7 0 01 Jul 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 132 106 0 19 May 2022
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining Weizhe Hua Yichi Zhang Chuan Guo Zhiru Zhang G. E. Suh OOD 26 14 0 29 Sep 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 75 184 0 27 Feb 2021