Natalie Frank

发表

On the Existence of the Adversarial Bayes Classifier (Extended Version) pdf

Mehryar Mohri, Pranjal Awasthi, Natalie S. Frank, 2021, NeurIPS.

Calibration and Consistency of Adversarial Surrogate Losses pdf

Mehryar Mohri, Pranjal Awasthi, Natalie Frank, 2021, NeurIPS.

Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models

Ioana Dumitriu, A. Sarwate, Sutanay Choudhury, 2023, ArXiv.

Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks

Pranjal Awasthi, Mehryar Mohri, Natalie Frank, 2020, ICML.

On the Rademacher Complexity of Linear Hypothesis Sets pdf

Pranjal Awasthi, Mehryar Mohri, Natalie Frank, 2020, ArXiv.

The Adversarial Consistency of Surrogate Risks for Binary Classification

Jonathan Niles-Weed, Natalie Frank, 2023, ArXiv.

The Consistency of Adversarial Training for Binary Classification

Jonathan Niles-Weed, Natalie Frank, 2022, ArXiv.

Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification

Natalie Frank, 2022, ArXiv.

The Adversarial Consistency of Surrogate Risks for Binary Classification

Jonathan Niles-Weed, Natalie Frank, 2023, ArXiv.