Frank, Natalie

1. Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
   2020/04/28 by Awasthi, Pranjal, Frank, Natalie, Mohri, Mehryar · 7 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Calibration and Consistency of Adversarial Surrogate Losses
   2021/04/19 by Pranjal Awasthi, Natalie S. Frank, Awasthi, Pranjal +7 · 9 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) #Security in Wireless Sensor Networks
3. On the Rademacher Complexity of Linear Hypothesis Sets
   2020/07/21 by Pranjal Awasthi, Natalie S. Frank, Awasthi, Pranjal +3 · 3 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
4. The Adversarial Consistency of Surrogate Risks for Binary Classification
   2023/05/17 by Frank, Natalie, Niles-Weed, Jonathan · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
5. The frog model on trees with drift
   2018/08/09 by Erin Beckman, Beckman, Erin, Natalie S. Frank +7 · 1 citation
   Mathematics · #60J10 #60J80 #60K35 #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Random Matrices and Applications #Stochastic processes and statistical mechanics
6. The Price of Implicit Bias in Adversarially Robust Generalization
   2024/06/07 by Nikolaos Tsilivis, Tsilivis, Nikolaos, Natalie C. Frank +5 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)