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Bibliographic Details
Main Authors:	Behal, Keira, Chen, Jiayi, Fikes, Caleb, Xiao, Sophia
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2310.18430
Tags:	Add Tag No Tags, Be the first to tag this record!

FairFinGAN: Fairness-aware Synthetic Financial Data Generation
by: Quy, Tai Le, et al.
Published: (2026)

Privacy-Preserving Fair Synthetic Tabular Data
by: Sarmin, Fatima J., et al.
Published: (2025)

Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias
by: Wyllie, Sierra, et al.
Published: (2024)

Generating Synthetic Fair Syntax-agnostic Data by Learning and Distilling Fair Representation
by: Sikder, Md Fahim, et al.
Published: (2024)

FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
by: Nagesh, Nitish, et al.
Published: (2025)

Book Censorship, Social Dynamics, and the Education-Library Establishment's Response to the Kanawha County Textbook Controversy.
by: Fikes, Robert, Jr.
Published: (1991)

Fair4Free: Generating High-fidelity Fair Synthetic Samples using Data Free Distillation
by: Sikder, Md Fahim, et al.
Published: (2024)

FairTabGen: High-Fidelity and Fair Synthetic Health Data Generation from Limited Samples
by: Nagesh, Nitish, et al.
Published: (2025)

Synthetic Data Generation for Intersectional Fairness by Leveraging Hierarchical Group Structure
by: Maheshwari, Gaurav, et al.
Published: (2024)

Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
by: Yuan, Chih-Cheng Rex, et al.
Published: (2025)

Data Augmentation via Causal-Residual Bootstrapping
by: Gajewski, Mateusz, et al.
Published: (2026)

Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
by: Panagiotou, Emmanouil, et al.
Published: (2024)

Evaluating Fair Feature Selection in Machine Learning for Healthcare
by: Zawad, Md Rahat Shahriar, et al.
Published: (2024)

Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling
by: Wang, Xiaoyang, et al.
Published: (2025)

Understanding Fairness in Recommender Systems: A Healthcare Perspective
by: Kecki, Veronica, et al.
Published: (2024)

AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
by: Zhao, Zengqun, et al.
Published: (2025)

Fair Machine Learning in Healthcare: A Review
by: Feng, Qizhang, et al.
Published: (2022)

Machine Learning for Synthetic Data Generation: A Review
by: Lu, Yingzhou, et al.
Published: (2023)

Fairness-aware Anomaly Detection via Fair Projection
by: Xiao, Feng, et al.
Published: (2025)

Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
by: Tarek, Mirza Farhan Bin, et al.
Published: (2024)

NLICE: Synthetic Medical Record Generation for Effective Primary Healthcare Differential Diagnosis
by: Al-Ars, Zaid, et al.
Published: (2024)

Balancing Fairness and Performance in Healthcare AI: A Gradient Reconciliation Approach
by: Wang, Xiaoyang, et al.
Published: (2025)

Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
by: Nagesh, Nitish, et al.
Published: (2026)

Counterfactual Fairness through Transforming Data Orthogonal to Bias
by: Chen, Shuyi, et al.
Published: (2024)

FairMed-XGB: A Bayesian-Optimised Multi-Metric Framework with Explainability for Demographic Equity in Critical Healthcare Data
by: Goswami, Mitul, et al.
Published: (2026)

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
by: Ekpo, Promise Osaine, et al.
Published: (2025)

Synthetic Time Series Data Generation for Healthcare Applications: A PCG Case Study
by: Jamshidi, Ainaz, et al.
Published: (2024)

Targeted Learning for Data Fairness
by: Asemota, Alexander, et al.
Published: (2025)

Fairness, Accuracy, and Unreliable Data
by: Stangl, Kevin
Published: (2024)

Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
by: Shang, Tianqi, et al.
Published: (2024)

Navigating Towards Fairness with Data Selection
by: Zhang, Yixuan, et al.
Published: (2024)

Investigating Data Interventions for Subgroup Fairness: An ICU Case Study
by: Tan, Erin, et al.
Published: (2026)

Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
by: Liu, Mingxuan, et al.
Published: (2024)

Does Differentially Private Synthetic Data Lead to Synthetic Discoveries?
by: Perez, Ileana Montoya, et al.
Published: (2024)

Trusting Fair Data: Leveraging Quality in Fairness-Driven Data Removal Techniques
by: Duong, Manh Khoi, et al.
Published: (2024)

Concordia: Self-Improving Synthetic Tables for Federated LLMs
by: Huang, Jimin, et al.
Published: (2026)

Exploring Fairness in Educational Data Mining in the Context of the Right to be Forgotten
by: Qian, Wei, et al.
Published: (2024)

Synthetic Data Generation with LLM for Improved Depression Prediction
by: Kang, Andrea, et al.
Published: (2024)

Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
by: Saldivar, Jorge, et al.
Published: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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