Frank, Natalie S.

1. On the Existence of the Adversarial Bayes Classifier (Extended Version)
   2021/12/03 by Pranjal Awasthi, Awasthi, Pranjal, Natalie S. Frank +3 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
   2023/05/23 by Andrew G. Engel, Engel, Andrew, Zhichao Wang +11 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
   2022/06/18 by Natalie S. Frank, Frank, Natalie S., Niles-Weed, Jonathan · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
4. Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier
   2024/04/26 by Natalie S. Frank, Frank, Natalie S. · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)