3 papers
cs.LG2026
Rethinking Benchmarks for Differentially Private Image Classification
Sabrina Mokhtari, Sara Kodeiri, Shubhankar Mohapatra +2
We revisit benchmarks for differentially private image classification. We suggest a comprehensive set of benchmarks, allowing researchers to evaluate techniques for differentially…
stat.ML2025
The Broader Landscape of Robustness in Algorithmic Statistics
Gautam Kamath
The last decade has seen a number of advances in computationally efficient algorithms for statistical methods subject to robustness constraints. An estimator may be robust in a num…
cs.LG2025
Membership Inference Attacks Cannot Prove that a Model Was Trained On Your Data
Jie Zhang, Debeshee Das, Gautam Kamath +1
We consider the problem of a training data proof, where a data creator or owner wants to demonstrate to a third party that some machine learning model was trained on their data. Tr…