Yeom, Samuel

1. Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting
   2017/09/05 by Samuel Yeom, Yeom, Samuel, Irene Giacomelli +5 · 3 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
2. Learning Fair Representations for Kernel Models
   2019/06/27 by Zilong Tan, Tan, Zilong, Samuel Yeom +5 · 1 citation
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Individual Fairness Revisited: Transferring Techniques from Adversarial Robustness
   2020/02/18 by Samuel Yeom, Matt Fredrikson, Yeom, Samuel +1 · 1 citation
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI)
4. Black-Box Audits for Group Distribution Shifts
   2022/09/08 by Juarez, Marc, Yeom, Samuel, Fredrikson, Matt · 1 citation
   #Computers and Society (cs.CY) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)