Preprint

Generalizability through Explainability: Countering Overfitting with Counterfactual Examples

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Jan 1, 2025

FROG: Fair Removal on Graphs

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Jan 1, 2025

Community Membership Hiding via Gradient-based Optimization

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Jan 1, 2025

COMBINEX: A Unified Counterfactual Explainer for Graph Neural Networks via Node Feature and Structural Perturbations

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Jan 1, 2025

Beyond Predictions: A Participatory Framework for Multi-Stakeholder Decision-Making

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Jan 1, 2025

Natural Language Counterfactual Explanations for Graphs Using Large Language Models

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Jan 1, 2024

Debiasing Machine Unlearning with Counterfactual Examples

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Jan 1, 2024

(∇) (τ): Gradient-based and Task-Agnostic machine Unlearning

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Jan 1, 2024

The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples

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Jan 1, 2023

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models

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Jan 1, 2023