Precise statistical analysis of classification accuracies for adversarial training
Author:
Affiliation:
1. Department of Data Sciences and Operations, University of Southern California
2. Department of Electrical and Computer Engineering, University of Southern California
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference66 articles.
1. Amelunxen, D., Lotz, M., McCoy, M. B. and Tropp, J. A. (2014). Living on the edge: Phase transitions in convex programs with random data. Inf. Inference 3 224–294.
2. Bayati, M. and Montanari, A. (2012). The LASSO risk for Gaussian matrices. IEEE Trans. Inf. Theory 58 1997–2017.
3. Donoho, D. L., Maleki, A. and Montanari, A. (2011). The noise-sensitivity phase transition in compressed sensing. IEEE Trans. Inf. Theory 57 6920–6941.
4. El Karoui, N. (2018). On the impact of predictor geometry on the performance on high-dimensional ridge-regularized generalized robust regression estimators. Probab. Theory Related Fields 170 95–175.
5. Gordon, Y. (1988). On Milman’s inequality and random subspaces which escape through a mesh in Rn. In Geometric Aspects of Functional Analysis (1986/87). Lecture Notes in Math. 1317 84–106. Springer, Berlin.
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Adversarial Machine Learning in Industry: A Systematic Literature Review;Computers & Security;2024-10
2. The curse of overparametrization in adversarial training: Precise analysis of robust generalization for random features regression;The Annals of Statistics;2024-04-01
3. Image and Text Emotion Classification Model Based on Multitask Learning;2023 IEEE Smart World Congress (SWC);2023-08-28
4. Adversarial Robustness for Latent Models: Revisiting the Robust-Standard Accuracies Tradeoff;Operations Research;2023-08-22
5. The Asymptotic Distribution of the Stochastic Mirror Descent Iterates in Linear Models;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3