Natalie Frank
5 papers · 2020–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
adversarial robustness
(3)
surrogate loss
(2)
bayesian learning
(1)
robust classification
(1)
explainable ai
(1)
adversarial training
(1)
rademacher complexity
(1)
bayes optimal classifier
(1)
surrogate model
(1)
adversarial loss
(1)
data attribution
(1)
margin loss
(1)
surrogate risk
(1)
kernel methods
(1)
neural network
(1)
neural tangent kernel
(1)
adversarial consistency
(1)
binary classification
(1)
Papers
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
ICLR 2024
The Adversarial Consistency of Surrogate Risks for Binary Classification
NeurIPS 2023
Calibration and Consistency of Adversarial Surrogate Losses
NeurIPS 2021
On the Existence of The Adversarial Bayes Classifier
NeurIPS 2021
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
ICML 2020