Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition

Author:

Richards Luke E.1ORCID,Raff Edward2ORCID,Matuszek Cynthia2ORCID

Affiliation:

1. University of Maryland, Baltimore County & Pacific Northwest National, Baltimore, MD, USA

2. University of Maryland, Baltimore County, Baltimore, MD, USA

Funder

National Science Foundation

Publisher

ACM

Reference50 articles.

1. Rosana Ardila , Megan Branson , Kelly Davis , Michael Henretty , Michael Kohler , Josh Meyer , Reuben Morais , Lindsay Saunders , Francis M Tyers , and Gregor Weber . 2019. Common voice: A massively-multilingual speech corpus. arXiv preprint arXiv:1912.06670 ( 2019 ). Rosana Ardila, Megan Branson, Kelly Davis, Michael Henretty, Michael Kohler, Josh Meyer, Reuben Morais, Lindsay Saunders, Francis M Tyers, and Gregor Weber. 2019. Common voice: A massively-multilingual speech corpus. arXiv preprint arXiv:1912.06670 (2019).

2. Sören Becker , Marcel Ackermann , Sebastian Lapuschkin , Klaus-Robert Müller , and Wojciech Samek . 2018. Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. CoRR , Vol. abs/ 1807 .03418 ( 2018 ). arxiv: 1807.03418 Sören Becker, Marcel Ackermann, Sebastian Lapuschkin, Klaus-Robert Müller, and Wojciech Samek. 2018. Interpreting and Explaining Deep Neural Networks for Classification of Audio Signals. CoRR , Vol. abs/1807.03418 (2018). arxiv: 1807.03418

3. Wild patterns: Ten years after the rise of adversarial machine learning

4. Joy Buolamwini and Timnit Gebru . 2018 . Gender shades: Intersectional accuracy disparities in commercial gender classification . In Conference on fairness, accountability and transparency. PMLR, 77--91 . Joy Buolamwini and Timnit Gebru. 2018. Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on fairness, accountability and transparency. PMLR, 77--91.

5. Nicholas Carlini , Anish Athalye , Nicolas Papernot , Wieland Brendel , Jonas Rauber , Dimitris Tsipras , Ian Goodfellow , Aleksander Madry , and Alexey Kurakin . 2019. On Evaluating Adversarial Robustness. arXiv preprint arXiv:1902.06705 ( 2019 ). Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, Aleksander Madry, and Alexey Kurakin. 2019. On Evaluating Adversarial Robustness. arXiv preprint arXiv:1902.06705 (2019).

Cited by 1 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

同舟云学术

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