Latest Articles for Utility

This study evaluates the effectiveness of chatGPT-generated captions in identifying sponsored content.

Synthetic data offers promise for improving research on adolescent cancer patients.

This study examines methods for maintaining privacy in language processing tasks.

Examining federated learning protocols to enhance privacy while improving model accuracy.

Examines competitive equilibrium and Nash welfare in fair resource distribution.

This article looks at how social groups separate in urban areas.

Exploring methods to achieve fairness in classification systems without sacrificing performance.

Synthetic data provides cost-effective solutions while ensuring privacy and reducing bias.

Optimizing noise generation methods for better data privacy in streaming applications.

A new model examines how uncertainty shapes decision-making behavior.

A new method that balances privacy and text quality in language models.

Recommendation systems must focus on both user engagement and true utility for better experiences.

Learn how caching strategies can enhance data retrieval speeds and reduce network load.

A new model proposes revenue sharing for copyright owners in generative AI.

This study analyzes how past choices reveal decision-makers' social welfare functions.

New methods enhance understanding of impedance in unbalanced low-voltage networks.

A method to rewrite texts while protecting individuals' privacy.

Explore how game theory enhances cooperation among agents in complex systems.

A new approach to measuring fairness in college admissions and credit assessments.

Active matter systems are driven by energy, showcasing unique behaviors through interactions.

A look into how delegation influences decision-making between principals and agents.

New methods improve privacy and coherence using collocations in language data.

A new method for rewriting text that ensures privacy and maintains meaning.

This article examines risks linked to LLMs and proposes ways to enhance safety.

Exploring methods to protect privacy while sharing network data effectively.

Improving calibration efficiency in mobile robotics using advanced measurement selection techniques.

This method improves data selection in Bayesian optimization, enhancing efficiency and outcomes.

Exploring challenges and advancements in protecting sensitive data while maintaining its usefulness.

A new framework evaluates methods for anonymizing biometric data to enhance privacy.

Discover how synthetic data helps retailers protect customer privacy while gaining insights.

A new scale helps measure user experiences in explainable AI systems.

A look into bidding mechanisms for goods and services.

PUFFLE offers a solution for privacy, utility, and fairness challenges in machine learning.

X-Fake framework enhances the quality of simulated SAR images for better deep learning applications.

Examining techniques to protect privacy while analyzing recorded conversations.

Exploring Quantum Local Differential Privacy to safeguard quantum data.

This article explains the concept of patience and its impact on economic choices.

A new approach for resource allocation in social programs prioritizes needs and evaluation.

A look into income taxation, fairness, and social implications.

How social media influencers navigate honesty and profit in product endorsements.