12 citations · 64 across the 17 of their papers we have counts for
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cs.LG2022
On Optimal Learning Under Targeted Data Poisoning
Steve Hanneke, Amin Karbasi, Mohammad Mahmoody +2
Consider the task of learning a hypothesis class in the presence of an adversary that can replace up to an fraction of the examples in the training set with arbit…
cs.LG2022★ 1 cited
Overparameterization from Computational Constraints
Sanjam Garg, Somesh Jha, Saeed Mahloujifar +2
Overparameterized models with millions of parameters have been hugely successful. In this work, we ask: can the need for large models be, at least in part, due to the \emph{computa…
cs.LG2022★ 1 cited
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning
Ji Gao, Sanjam Garg, Mohammad Mahmoody +1
Privacy attacks on machine learning models aim to identify the data that is used to train such models. Such attacks, traditionally, are studied on static models that are trained on…