Concepedia

Samuel Yeom

SY

8

Publications

992

Citations

8

H-Index

2017

Active since

Affiliations

Carnegie Mellon University(Current)

University of Wisconsin–Madison

Samuel Yeom is an author at Carnegie Mellon University specializing in engineering, data science, and computer science.

Top concepts

EngineeringData ScienceData SecurityComputer ScienceMachine LearningAdversarial Machine LearningBiasPrivacyStatisticsData Mining

Publications per year

2017–2021

8

Publications

8

Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting

Samuel Yeom, Irene Giacomelli, Matt Fredrikson et al. · 2018 · 864 citations

Artificial Intelligence, Privacy Protection, Engineering +20

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

Samuel Yeom, Irene Giacomelli, Alan Menaged et al. · Journal of Computer Security · 2019 · 35 citations · Full text

Avoiding Disparity Amplification under Different Worldviews

Samuel Yeom, Michael Carl Tschantz · 2021 · 21 citations · Full text

Engineering, Discrimination, Stereo Imaging +17

The Unintended Consequences of Overfitting: Training Data Inference Attacks.

Samuel Yeom, Matt Fredrikson, Somesh Jha · arXiv (Cornell University) · 2017 · 20 citations · Full text

Privacy Protection, Engineering, Machine Learning +19

Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness

Samuel Yeom, Matt Fredrikson · 2020 · 16 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +13

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