11 citations · 34 across the 10 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024★ 1 cited
Adversarial Machine Unlearning
Zonglin Di, Sixie Yu, Yevgeniy Vorobeychik +1
This paper focuses on the challenge of machine unlearning, aiming to remove the influence of specific training data on machine learning models. Traditionally, the development of un…
cs.LG2019
Distributionally Robust Removal of Malicious Nodes from Networks
Sixie Yu, Yevgeniy Vorobeychik
An important problem in networked systems is detection and removal of suspected malicious nodes. A crucial consideration in such settings is the uncertainty endemic in detection, c…
cs.LG2018★ 11 cited
Adversarial Regression with Multiple Learners
Liang Tong, Sixie Yu, Scott Alfeld +1
Despite the considerable success enjoyed by machine learning techniques in practice, numerous studies demonstrated that many approaches are vulnerable to attacks. An important clas…