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03/08/2023
HappyMap: A Generalized Multi-calibration Method
Multi-calibration is a powerful and evolving concept originating in the ...
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01/21/2023
From Pseudorandomness to Multi-Group Fairness and Back
We identify and explore connections between the recent literature on mul...
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11/06/2022
Confidence-Ranked Reconstruction of Census Microdata from Published Statistics
A reconstruction attack on a private dataset D takes as input some publi...
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07/20/2022
Improved Generalization Guarantees in Restricted Data Models
Differential privacy is known to protect against threats to validity inc...
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11/04/2021
Scaffolding Sets
Predictors map individual instances in a population to the interval [0,1...
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11/26/2020
Outcome Indistinguishability
Prediction algorithms assign numbers to individuals that are popularly u...
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10/03/2020
Interpreting Robust Optimization via Adversarial Influence Functions
Robust optimization has been widely used in nowadays data science, espec...
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07/23/2020
Private Post-GAN Boosting
Differentially private GANs have proven to be a promising approach for g...
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06/20/2020
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
We investigate the power of censoring techniques, first developed for le...
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04/12/2020
Individual Fairness in Pipelines
It is well understood that a system built from individually fair compone...
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04/04/2020
Abstracting Fairness: Oracles, Metrics, and Interpretability
It is well understood that classification algorithms, for example, for d...
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06/04/2019
Architecture Selection via the Trade-off Between Accuracy and Robustness
We provide a general framework for characterizing the trade-off between ...
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07/11/2018
Differentially Private False Discovery Rate Control
Differential privacy provides a rigorous framework for privacy-preservin...
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06/15/2018
Fairness Under Composition
Much of the literature on fair classifiers considers the case of a singl...
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03/27/2018
Privacy-preserving Prediction
Ensuring differential privacy of models learned from sensitive user data...
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11/12/2015
