Samuel Yeom

Samuel Yeom

Carnegie Mellon University

H-index: 7

North America-United States

About Samuel Yeom

Samuel Yeom, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Carnegie Mellon University,

His recent articles reflect a diverse array of research interests and contributions to the field:

Black-box audits for group distribution shifts

Black-Box Approaches to Fair Machine Learning

Avoiding Disparity Amplification under Different Worldviews

Learning fair representations for kernel models

FlipTest: Fairness testing via optimal transport

Individual fairness revisited: Transferring techniques from adversarial robustness

Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning

Samuel Yeom Information

University

Position

___

Citations(all)

1156

Citations(since 2020)

1132

Cited By

273

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Top articles of Samuel Yeom

Black-box audits for group distribution shifts

arXiv preprint arXiv:2209.03620

2022/9/8

Samuel Yeom
Samuel Yeom

H-Index: 5

Matt Fredrikson
Matt Fredrikson

H-Index: 25

Black-Box Approaches to Fair Machine Learning

2021/6

Samuel Yeom
Samuel Yeom

H-Index: 5

Avoiding Disparity Amplification under Different Worldviews

ACM Conference on Fairness, Accountability, and Transparency

2021

Samuel Yeom
Samuel Yeom

H-Index: 5

Learning fair representations for kernel models

2020/6/3

FlipTest: Fairness testing via optimal transport

2020/1/27

Individual fairness revisited: Transferring techniques from adversarial robustness

arXiv preprint arXiv:2002.07738

2020/2/18

Samuel Yeom
Samuel Yeom

H-Index: 5

Matt Fredrikson
Matt Fredrikson

H-Index: 25

Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning

Journal of Computer Security

2020/1/1

See List of Professors in Samuel Yeom University(Carnegie Mellon University)

Co-Authors

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