GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Shah, Arya, Visavadiya, Kaveri, Padala, Manisha |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FairProof : Confidential and Certifiable Fairness for Neural Networks
by: Yadav, Chhavi, et al.
Published: (2024)
by: Yadav, Chhavi, et al.
Published: (2024)
Robust Prediction Model for Multidimensional and Unbalanced Datasets
by: Thakar, Pooja, et al.
Published: (2024)
by: Thakar, Pooja, et al.
Published: (2024)
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
by: Dey, Prasenjit, et al.
Published: (2025)
by: Dey, Prasenjit, et al.
Published: (2025)
CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026)
by: Sadig, Daniel, et al.
Published: (2026)
Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)
by: Li, You, et al.
Published: (2024)
Lipschitz-aware Linearity Grafting for Certified Robustness
by: Han, Yongjin, et al.
Published: (2025)
by: Han, Yongjin, et al.
Published: (2025)
Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees
by: Ospanov, Azim, et al.
Published: (2024)
by: Ospanov, Azim, et al.
Published: (2024)
Standardized Interpretable Fairness Measures for Continuous Risk Scores
by: Becker, Ann-Kristin, et al.
Published: (2023)
by: Becker, Ann-Kristin, et al.
Published: (2023)
Efficient Federated Conformal Prediction with Group-Conditional Guarantees
by: Wen, Haifeng, et al.
Published: (2026)
by: Wen, Haifeng, et al.
Published: (2026)
Safe Fairness Guarantees Without Demographics in Classification: Spectral Uncertainty Set Perspective
by: Barrainkua, Ainhize, et al.
Published: (2026)
by: Barrainkua, Ainhize, et al.
Published: (2026)
Certified Adversarial Robustness via Partition-based Randomized Smoothing
by: Goli, Hossein, et al.
Published: (2024)
by: Goli, Hossein, et al.
Published: (2024)
Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations
by: Marzari, Luca, et al.
Published: (2024)
by: Marzari, Luca, et al.
Published: (2024)
Demystifying the Optimal Fair Classifier in Multi-Class Classification
by: Zhang, Li, et al.
Published: (2026)
by: Zhang, Li, et al.
Published: (2026)
Fair Class-Incremental Learning using Sample Weighting
by: Park, Jaeyoung, et al.
Published: (2024)
by: Park, Jaeyoung, et al.
Published: (2024)
Certified Robustness against Sparse Adversarial Perturbations via Data Localization
by: Pal, Ambar, et al.
Published: (2024)
by: Pal, Ambar, et al.
Published: (2024)
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
by: Fazlyab, Mahyar, et al.
Published: (2023)
by: Fazlyab, Mahyar, et al.
Published: (2023)
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
by: Gao, Weizhi, et al.
Published: (2024)
by: Gao, Weizhi, et al.
Published: (2024)
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
by: Li, Zaitang, et al.
Published: (2023)
by: Li, Zaitang, et al.
Published: (2023)
ANML: Attribution-Native Machine Learning with Guaranteed Robustness
by: Zahn, Oliver, et al.
Published: (2026)
by: Zahn, Oliver, et al.
Published: (2026)
Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model Change
by: Stępka, Ignacy, et al.
Published: (2024)
by: Stępka, Ignacy, et al.
Published: (2024)
Learning to Condition: A Neural Heuristic for Scalable MPE Inference
by: Malhotra, Brij, et al.
Published: (2025)
by: Malhotra, Brij, et al.
Published: (2025)
Utilizing Class Separation Distance for the Evaluation of Corruption Robustness of Machine Learning Classifiers
by: Siedel, Georg, et al.
Published: (2022)
by: Siedel, Georg, et al.
Published: (2022)
Calibrated Credit Intelligence: Shift-Robust and Fair Risk Scoring with Bayesian Uncertainty and Gradient Boosting
by: Nayak, Srikumar
Published: (2026)
by: Nayak, Srikumar
Published: (2026)
Robust Privacy: Inference-Time Privacy through Certified Robustness
by: Jin, Jiankai, et al.
Published: (2026)
by: Jin, Jiankai, et al.
Published: (2026)
FairPO: Robust Preference Optimization for Fair Multi-Label Learning
by: Mondal, Soumen Kumar, et al.
Published: (2025)
by: Mondal, Soumen Kumar, et al.
Published: (2025)
Certified Robustness from Approximate Gaussian Mixture Structures in Pretrained Latent Spaces
by: Emmanouilidis, Konstantinos, et al.
Published: (2026)
by: Emmanouilidis, Konstantinos, et al.
Published: (2026)
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
by: Kang, Mintong, et al.
Published: (2024)
by: Kang, Mintong, et al.
Published: (2024)
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
by: Jin, Gaojie, et al.
Published: (2025)
by: Jin, Gaojie, et al.
Published: (2025)
CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
by: Wang, Zixia, et al.
Published: (2025)
by: Wang, Zixia, et al.
Published: (2025)
Certifiably Robust Policies for Uncertain Parametric Environments
by: Schnitzer, Yannik, et al.
Published: (2024)
by: Schnitzer, Yannik, et al.
Published: (2024)
Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025)
by: Rocamora, Elias Abad, et al.
Published: (2025)
FACTER: Fairness-Aware Conformal Thresholding and Prompt Engineering for Enabling Fair LLM-Based Recommender Systems
by: Fayyazi, Arya, et al.
Published: (2025)
by: Fayyazi, Arya, et al.
Published: (2025)
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees
by: Queeney, James, et al.
Published: (2023)
by: Queeney, James, et al.
Published: (2023)
Protect Your Score: Contact Tracing With Differential Privacy Guarantees
by: Romijnders, Rob, et al.
Published: (2023)
by: Romijnders, Rob, et al.
Published: (2023)
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
by: Zanna, Khadija, et al.
Published: (2025)
by: Zanna, Khadija, et al.
Published: (2025)
On Optimal Steering to Achieve Exact Fairness
by: Sharma, Mohit, et al.
Published: (2025)
by: Sharma, Mohit, et al.
Published: (2025)
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem
by: Juston, Marius F. R., et al.
Published: (2025)
by: Juston, Marius F. R., et al.
Published: (2025)
Score-based Generative Modeling for Conditional Independence Testing
by: Ren, Yixin, et al.
Published: (2025)
by: Ren, Yixin, et al.
Published: (2025)
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA
by: Zhou, Songqi, et al.
Published: (2025)
by: Zhou, Songqi, et al.
Published: (2025)
Similar Items
-
FairProof : Confidential and Certifiable Fairness for Neural Networks
by: Yadav, Chhavi, et al.
Published: (2024) -
Robust Prediction Model for Multidimensional and Unbalanced Datasets
by: Thakar, Pooja, et al.
Published: (2024) -
Uncertainty-Aware Fusion: An Ensemble Framework for Mitigating Hallucinations in Large Language Models
by: Dey, Prasenjit, et al.
Published: (2025) -
CEAR: Certified Ensemble Adversarial Robustness in DNNs
by: Sadig, Daniel, et al.
Published: (2026) -
Certifying Global Robustness for Deep Neural Networks
by: Li, You, et al.
Published: (2024)