1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Exploiting Missing Data Remediation Strategies using Adversarial Missingness Attacks
Deniz Koyuncu, Alex Gittens, Bülent Yener +1
Adversarial Missingness (AM) attacks aim to manipulate model fitting by carefully engineering a missing data problem to achieve a specific malicious objective. AM attacks are signi…
cs.LG2023★ 1 cited
Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
Deniz Koyuncu, Alex Gittens, Bülent Yener +1
Inference of causal structures from observational data is a key component of causal machine learning; in practice, this data may be incompletely observed. Prior work has demonstrat…
stat.ML2022
Extending Model-x Framework to Missing Data
Deniz Koyuncu, Alex Gittens, Bülent Yener
One limitation of the most statistical/machine learning-based variable selection approaches is their inability to control the false selections. A recently introduced framework, mod…