Rosenblatt, Lucas
- Differentially Private Synthetic Data: Applied Evaluations and Enhancements
2020/11/11 by Lucas Rosenblatt, Rosenblatt, Lucas, Xiaoyan Liu +9 · 4 citations
Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Stochastic Gradient Optimization Techniques
- The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice
2023/02/13 by Bell, Andrew, Bynum, Lucius, Drushchak, Nazarii +3 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Sharper Bounds for Chebyshev Moment Matching, with Applications
2024/08/22 by Cameron Musco, Musco, Cameron, Christopher Musco +5 · 2 citations
Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Statistical Methods and Inference
- Differential Privacy Under Class Imbalance: Methods and Empirical Insights
2024/11/08 by Lucas Rosenblatt, Rosenblatt, Lucas, Yuliia Lut +7 · 3 citations
Business, Management and Accounting · Social Sciences · #68P27 #Cryptography and Security (cs.CR) #Discrimination and Equality Law #Dispute Resolution and Class Actions #F.0 #FOS: Computer and information sciences #G.3 #I.2.0 #J.0 #Law, Rights, and Freedoms #Machine Learning (cs.LG)
- Spending Privacy Budget Fairly and Wisely
2022/04/27 by Rosenblatt, Lucas, Allen, Joshua, Stoyanovich, Julia · 1 citation
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Are Data Experts Buying into Differentially Private Synthetic Data? Gathering Community Perspectives
2024/12/17 by Rosenblatt, Lucas, Howe, Bill, Stoyanovich, Julia · 2 citations
#Cryptography and Security (cs.CR) #Databases (cs.DB) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
- FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness
2024/10/02 by Rosenblatt, Lucas, Witter, R. Teal · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)