Samuel Yeom

15 papers A* 2A 2Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2022 J jnl
Black-Box Audits for Group Distribution Shifts.
CoRR
Marc Juarez, Samuel Yeom, Matt Fredrikson
2021 — conf
Avoiding Disparity Amplification under Different Worldviews.
FAccT
Samuel Yeom, Michael Carl Tschantz
2021 — —
Black-Box Approaches to Fair Machine Learning.
Samuel Yeom
2020 — conf
FlipTest: fairness testing via optimal transport.
FAT*
Emily Black, Samuel Yeom, Matt Fredrikson
2020 A* conf
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness.
IJCAI
Samuel Yeom, Matt Fredrikson
2020 J jnl
Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness.
CoRR
Samuel Yeom, Matt Fredrikson
2020 A conf
Learning Fair Representations for Kernel Models.
AISTATS
Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar
2020 J jnl
Overfitting, robustness, and malicious algorithms: A study of potential causes of privacy risk in machine learning.
J. Comput. Secur.
Samuel Yeom, Irene Giacomelli, Alan Menaged, Matt Fredrikson, Somesh Jha
2019 J jnl
FlipTest: Fairness Auditing via Optimal Transport.
CoRR
Emily Black, Samuel Yeom, Matt Fredrikson
2019 J jnl
Learning Fair Representations for Kernel Models.
CoRR
Zilong Tan, Samuel Yeom, Matt Fredrikson, Ameet Talwalkar
2018 J jnl
Discriminative but Not Discriminatory: A Comparison of Fairness Definitions under Different Worldviews.
CoRR
Samuel Yeom, Michael Carl Tschantz
2018 A* conf
Hunting for Discriminatory Proxies in Linear Regression Models.
NeurIPS
Samuel Yeom, Anupam Datta, Matt Fredrikson
2018 J jnl
Hunting for Discriminatory Proxies in Linear Regression Models.
CoRR
Samuel Yeom, Anupam Datta, Matt Fredrikson
2018 A conf
Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting.
CSF
Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha
2017 J jnl
The Unintended Consequences of Overfitting: Training Data Inference Attacks.
CoRR
Samuel Yeom, Matt Fredrikson, Somesh Jha