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Symmetric positive-definite matrices
The dataset is a collection of symmetric positive-definite matrices. -
Kendall's 2D shape space
The dataset is a collection of 2D shapes of corpus callosa, a part of the brain. -
Black Box Differential Privacy Auditing
We present a practical method to audit the differential privacy (DP) guarantees of a machine learning model using a small hold-out dataset that is not exposed to the model... -
ACSPublicCoverage dataset
The dataset used in the paper is not explicitly described, but it is mentioned that it is a binary dataset. -
Fair and Optimal Classification via Post-Processing
This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors. -
Fair and Private Post-Processing for Attribute-Aware Fair Regression
This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors. -
Differentially Private Post-Processing for Fair Regression
This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors. -
PRIVACY-PRESERVING IN-CONTEXT LEARNING FOR LARGE LANGUAGE MODELS
In-context learning (ICL) is an important capability of Large Language Models (LLMs), enabling these models to dynamically adapt based on specific, in-context exemplars, thereby... -
Secure Haplotype Imputation Employing Local Differential privacy
SHIELD is a program for accurately estimating the genotype of target samples at markers that are not directly assayed by array-based genotyping platforms while preserving the... -
Adult dataset
A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...
