SOTAVerified

Fairness

Papers

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Showing 1976–2000 of 5676 papers

TitleStatusHype
TrojFair: Trojan Fairness Attacks—0
An Information-Flow Perspective on Algorithmic Fairness—0
Integrating Fairness and Model Pruning Through Bi-level Optimization—0
Investigating Responsible AI for Scientific Research: An Empirical Study—0
Fair Clustering: A Causal PerspectiveCode0
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning—0
Fair Active Learning in Low-Data Regimes—0
Privacy Constrained Fairness Estimation for Decision Trees—0
Human-in-the-loop Fairness: Integrating Stakeholder Feedback to Incorporate Fairness Perspectives in Responsible AICode0
Stable Rivers: A Case Study in the Application of Text-to-Image Generative Models for Earth Sciences—0
FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs—0
Tell, don't show: Declarative facts influence how LLMs generalize—0
On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images—0
The Complexity of Envy-Free Graph Cutting—0
The Limits of Fair Medical Imaging AI In The WildCode1
TaCo: Targeted Concept Erasure Prevents Non-Linear Classifiers From Detecting Protected AttributesCode0
Testing Correctness, Fairness, and Robustness of Speech Emotion Recognition Models—0
Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous DrivingCode0
METAL: Metamorphic Testing Framework for Analyzing Large-Language Model Qualities—0
No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation—0
Mitigating Nonlinear Algorithmic Bias in Binary Classification—0
Multi-dimensional Fair Federated Learning—0
Improving Adversarial Robust Fairness via Anti-Bias Soft Label DistillationCode0
Optimal Multi-Distribution Learning—0
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision MakingCode0
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All datasetsBAF – BaseBAF – Variant IBAF – Variant IIBAF – Variant IIIBAF – Variant IVBAF – Variant VDiveFaceMORPHUTKFace

Benchmark Results

#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.86—Unverified
21D-CSNNPredictive Equality (age)97.8—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)96.87—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.97—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.45—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)98.68—Unverified
#ModelMetricClaimedVerifiedStatus
11D-CSNNPredictive Equality (age)99.31—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)6.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Neighbour LearningDegree of Bias (DoB)1.96—Unverified