simulated sensitive attribute inference model results Search Results


simulated sensitive attribute inference model results  (COMPAS Inc)
90
COMPAS Inc simulated sensitive attribute inference model results
Overall design measuring the impact of uncertain <t>sensitive</t> <t>attribute</t> <t>inference</t> on bias mitigation algorithms.
Simulated Sensitive Attribute Inference Model Results, supplied by COMPAS Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/simulated sensitive attribute inference model results/product/COMPAS Inc
Average 90 stars, based on 1 article reviews
simulated sensitive attribute inference model results - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Overall design measuring the impact of uncertain sensitive attribute inference on bias mitigation algorithms.

Journal: Frontiers in Artificial Intelligence

Article Title: Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty

doi: 10.3389/frai.2025.1520330

Figure Lengend Snippet: Overall design measuring the impact of uncertain sensitive attribute inference on bias mitigation algorithms.

Article Snippet: For the COMPAS and credit card client data sets, we use the simulated sensitive attribute inference model results with random misclassification at 0.75 balanced accuracy.

Techniques:

Gender inference accuracy using existing demographic inference models.

Journal: Frontiers in Artificial Intelligence

Article Title: Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty

doi: 10.3389/frai.2025.1520330

Figure Lengend Snippet: Gender inference accuracy using existing demographic inference models.

Article Snippet: For the COMPAS and credit card client data sets, we use the simulated sensitive attribute inference model results with random misclassification at 0.75 balanced accuracy.

Techniques:

Balanced accuracy and fairness score of the outcome prediction model (using inferred sensitive attribute) on Wikidata.

Journal: Frontiers in Artificial Intelligence

Article Title: Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty

doi: 10.3389/frai.2025.1520330

Figure Lengend Snippet: Balanced accuracy and fairness score of the outcome prediction model (using inferred sensitive attribute) on Wikidata.

Article Snippet: For the COMPAS and credit card client data sets, we use the simulated sensitive attribute inference model results with random misclassification at 0.75 balanced accuracy.

Techniques:

Prediction model fairness difference using the ground truth sensitive attribute S and the inferred sensitive attribute S ′ with 0.75 balanced accuracy.

Journal: Frontiers in Artificial Intelligence

Article Title: Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty

doi: 10.3389/frai.2025.1520330

Figure Lengend Snippet: Prediction model fairness difference using the ground truth sensitive attribute S and the inferred sensitive attribute S ′ with 0.75 balanced accuracy.

Article Snippet: For the COMPAS and credit card client data sets, we use the simulated sensitive attribute inference model results with random misclassification at 0.75 balanced accuracy.

Techniques:

Prediction model fairness difference between baseline model and bias mitigation methods using inferred sensitive attribute with 0.75 balanced accuracy.

Journal: Frontiers in Artificial Intelligence

Article Title: Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty

doi: 10.3389/frai.2025.1520330

Figure Lengend Snippet: Prediction model fairness difference between baseline model and bias mitigation methods using inferred sensitive attribute with 0.75 balanced accuracy.

Article Snippet: For the COMPAS and credit card client data sets, we use the simulated sensitive attribute inference model results with random misclassification at 0.75 balanced accuracy.

Techniques: