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Author

Samuel Yeom

Observed name: Yeom, Samuel
Observed institution: Carnegie Mellon University
OpenAlex ID: A5083504716
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
2018 · Samuel Yeom, Irene Giacomelli, et al. · IEEE Computer Security Foundations Workshop (CSFW) · 1,002
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Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning
2019 · Samuel Yeom, Irene Giacomelli, et al. · Journal of Computer Security · 39
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Avoiding Disparity Amplification under Different Worldviews
2021 · Samuel Yeom, Michael Carl Tschantz · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · 21
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The Unintended Consequences of Overfitting: Training Data Inference Attacks.
2017 · Samuel Yeom, Matt Fredrikson, et al. · arXiv (Cornell University) · 20
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
2020 · Samuel Yeom, Matt Fredrikson · International Joint Conference on Artificial Intelligence · 17
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Learning Fair Representations for Kernel Models
2019 · Tan, Zilong, Yeom, Samuel, et al. · arXiv (Cornell University) · 17
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Hunting for Discriminatory Proxies in Linear Regression Models
2018 · Yeom, Samuel, Datta, Anupam, et al. · arXiv (Cornell University) · 16
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Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews.
2018 · Samuel Yeom, Michael Carl Tschantz · arXiv (Cornell University) · 9
FlipTest: Fairness Auditing via Optimal Transport.
2019 · Emily Black, Samuel Yeom, et al. · arXiv (Cornell University) · 4
Black-Box Audits for Group Distribution Shifts
2022 · Juarez, Marc, Yeom, Samuel, et al. · arXiv (Cornell University) · 2
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Works count: 11
Citation count: 1,147
H-index: 8
I10-index: 7
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