:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xiang, Lanxin, Shi, Liang, Ye, Youhui, Jiang, Boyu, Zhou, Dawei, Guo, Feng
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.15154
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Polynomial-Time Axiomatic Alternative to SHAP for Feature Attribution
by: Hiraki, Kazuhiro, et al.
Published: (2026)

RankSHAP: Shapley Value Based Feature Attributions for Learning to Rank
by: Chowdhury, Tanya, et al.
Published: (2024)

Causal SHAP: Feature Attribution with Dependency Awareness through Causal Discovery
by: Ng, Woon Yee, et al.
Published: (2025)

Learning from Noisy Labels via Conditional Distributionally Robust Optimization
by: Guo, Hui, et al.
Published: (2024)

Perception Characteristics Distance: Measuring Stability and Robustness of Perception System in Dynamic Conditions under a Certain Decision Rule
by: Jiang, Boyu, et al.
Published: (2025)

RoFL: Robust Fingerprinting of Language Models
by: Tsai, Yun-Yun, et al.
Published: (2025)

Scalable Deep Metric Learning on Attributed Graphs
by: Li, Xiang, et al.
Published: (2024)

SHAP-based Explanations are Sensitive to Feature Representation
by: Hwang, Hyunseung, et al.
Published: (2025)

From SHAP Scores to Feature Importance Scores
by: Letoffe, Olivier, et al.
Published: (2024)

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
by: Shi, Tianhao, et al.
Published: (2024)

Model Guidance via Robust Feature Attribution
by: Ghitu, Mihnea, et al.
Published: (2025)

AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
by: Zhou, Nuoyan, et al.
Published: (2024)

REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values
by: Sharma, Shubham, et al.
Published: (2024)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
by: Zhou, Zhi, et al.
Published: (2024)

On the Tractability of SHAP Explanations under Markovian Distributions
by: Marzouk, Reda, et al.
Published: (2024)

FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
by: Zhu, Lin, et al.
Published: (2025)

Shap-Select: Lightweight Feature Selection Using SHAP Values and Regression
by: Kraev, Egor, et al.
Published: (2024)

Explainable Threat Attribution for IoT Networks Using Conditional SHAP and Flow Behavior Modelling
by: Ozechi, Samuel, et al.
Published: (2026)

Attribute Fusion-based Classifier on Framework of Belief Structure
by: Hu, Qiying, et al.
Published: (2025)

Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
by: Edin, Joakim, et al.
Published: (2024)

Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions
by: Wettenstein, Ron, et al.
Published: (2026)

TabSHAP
by: Chaudhary, Aryan, et al.
Published: (2026)

HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs
by: Zeng, Xinyue, et al.
Published: (2026)

SurrogateSHAP: Training-Free Contributor Attribution for Text-to-Image (T2I) Models
by: Lu, Mingyu, et al.
Published: (2026)

Distributionally Robust Feature Selection
by: Swaroop, Maitreyi, et al.
Published: (2025)

Feature Attribution Stability Suite: How Stable Are Post-Hoc Attributions?
by: Subramaniakuppusamy, Kamalasankari, et al.
Published: (2026)

Enhancing Adversarial Robustness of IoT Intrusion Detection via SHAP-Based Attribution Fingerprinting
by: Sharma, Dilli Prasad, et al.
Published: (2025)

Model Monitoring in the Absence of Labeled Data via Feature Attributions Distributions
by: Mougan, Carlos
Published: (2025)

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox
by: Wang, Haohui, et al.
Published: (2023)

ABE: A Unified Framework for Robust and Faithful Attribution-Based Explainability
by: Zhu, Zhiyu, et al.
Published: (2025)

PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
by: Fumagalli, Fabian, et al.
Published: (2026)

SHAP Distance: An Explainability-Aware Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data
by: Yu, Ke, et al.
Published: (2025)

RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions
by: Huch, Easton K., et al.
Published: (2023)

Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier
by: Li, Xinpeng, et al.
Published: (2025)

Hybrid Attribution Priors for Explainable and Robust Model Training
by: Zhang, Zhuoran, et al.
Published: (2025)

Rethinking Robustness: A New Approach to Evaluating Feature Attribution Methods
by: Kiourti, Panagiota, et al.
Published: (2025)

Interaction Tensor SHAP
by: Hasegawa, Hiroki, et al.
Published: (2025)

QuadraSHAP: Stable and Scalable Shapley Values for Product Games via Gauss-Legendre Quadrature
by: Mohammadi, Majid, et al.
Published: (2026)

The Attribution Contract: Feature Attribution for Generative Language Models
by: Nguyen, Giang
Published: (2026)

HeRo-Q: A General Framework for Stable Low Bit Quantization via Hessian Conditioning
by: Zhang, Jinhao Zhang Yunquan, et al.
Published: (2026)