Michael P. Kim
- Planting Undetectable Backdoors in Machine Learning Models
2022/04/14 by Shafi Goldwasser, Michael P. Kim, Goldwasser, Shafi +5 · 6 voices · 12 citations
#cs.LG #cs.CR
- Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
2021/07/12 by Shengjia Zhao, Zhao, Shengjia, Michael P. Kim +8 · 9 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME)
- Fairness Through Computationally-Bounded Awareness
2018/03/08 by Michael P. Kim, Kim, Michael P., Omer Reingold +3 · 7 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Outcome Indistinguishability
2020/11/26 by Cynthia Dwork, Dwork, Cynthia, Michael P. Kim +7 · 6 citations
Computer Science · Mathematics · #Benford’s Law and Fraud Detection #Computability, Logic, AI Algorithms #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
2023/02/13 by Parikshit Gopalan, Michael P. Kim, Gopalan, Parikshit +3 · 6 citations
Computer Science · #68Q32 #68T05 #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- A Distributional Framework for Data Valuation
2020/02/27 by Amirata Ghorbani, Michael P. Kim, Ghorbani, Amirata +3 · 4 citations
Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Auction Theory and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sports Analytics and Performance
- Near-Optimal Algorithms for Omniprediction
2025/01/28 by Princewill Okoroafor, Okoroafor, Princewill, Robert Kleinberg +3 · 9 citations
Computer Science · #Anomaly Detection Techniques and Applications #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Evolutionary fingerprints of epithelial-to-mesenchymal transition
2025/03/05 by Luigi Perelli, Li Zhang, Sarah Mangiameli +39 · 1 voice · 3 citations
Biochemistry, Genetics and Molecular Biology · Medicine · #Cancer Genomics and Diagnostics #Pancreatic and Hepatic Oncology Research #Single-cell and spatial transcriptomics
- Publicly-Verifiable Certificates for Statistical Algorithms
2026/07/17 by Michael Ngo, Michael P. Kim
#cs.LG #cs.CR #cs.DS