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Bibliographic Details
Main Authors:	Das, Saswat, Mishra, Subhankar
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2404.04706
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Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
by: Ko, Joonhyuk, et al.
Published: (2024)

Calibrating Practical Privacy Risks for Differentially Private Machine Learning
by: Gu, Yuechun, et al.
Published: (2024)

NeuroFilter: Privacy Guardrails for Conversational LLM Agents
by: Das, Saswat, et al.
Published: (2026)

Disparate Impact on Group Accuracy of Linearization for Private Inference
by: Das, Saswat, et al.
Published: (2024)

Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning
by: Pham, Ngoc Duy, et al.
Published: (2023)

Beyond Jailbreaking: Auditing Contextual Privacy in LLM Agents
by: Das, Saswat, et al.
Published: (2025)

Private Linear Regression with Differential Privacy and PAC Privacy
by: Yang, Hillary, et al.
Published: (2024)

Differentially Private Relational Learning with Entity-level Privacy Guarantees
by: Huang, Yinan, et al.
Published: (2025)

PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization
by: Yang, Qin, et al.
Published: (2025)

Differentially Private Active Learning: Balancing Effective Data Selection and Privacy
by: Schwethelm, Kristian, et al.
Published: (2024)

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
by: Tang, Xinyu, et al.
Published: (2023)

Scalable Differential Privacy Mechanisms for Real-Time Machine Learning Applications
by: Smith, Jessica, et al.
Published: (2024)

Practical Implications of Implementing Local Differential Privacy for Smart grids
by: Hafeez, Khadija, et al.
Published: (2025)

Bayesian Pseudo Posterior Mechanism for Differentially Private Machine Learning
by: Chew, Robert, et al.
Published: (2025)

Privacy Leakage via Output Label Space and Differentially Private Continual Learning
by: Tobaben, Marlon, et al.
Published: (2024)

Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
by: Piran, Fardin Jalil, et al.
Published: (2024)

Dobrushin Coefficients of Private Mechanisms Beyond Local Differential Privacy
by: Grosse, Leonhard, et al.
Published: (2026)

Protecting Private Code in IDE Autocomplete using Differential Privacy
by: Grigorenko, Evgeny, et al.
Published: (2026)

Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning
by: Wang, Wenhao, et al.
Published: (2026)

Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
by: Riess, Anneliese, et al.
Published: (2026)

Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
by: Annamalai, Meenatchi Sundaram Muthu Selva, et al.
Published: (2024)

Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
by: Bao, Wenxuan, et al.
Published: (2025)

Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
by: Xu, Jie, et al.
Published: (2026)

Verifiable Differential Privacy
by: Biswas, Ari, et al.
Published: (2022)

Privately Answering Queries on Skewed Data via Per Record Differential Privacy
by: Seeman, Jeremy, et al.
Published: (2023)

Differentially Private Learned Indexes
by: Du, Jianzhang, et al.
Published: (2024)

Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory
by: Liu, Jianqing, et al.
Published: (2024)

DP-BART for Privatized Text Rewriting under Local Differential Privacy
by: Igamberdiev, Timour, et al.
Published: (2023)

Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners
by: Redberg, Rachel, et al.
Published: (2023)

Locally Differentially Private In-Context Learning
by: Zheng, Chunyan, et al.
Published: (2024)

When FinTech Meets Privacy: Securing Financial LLMs with Differential Private Fine-Tuning
by: Zhu, Sichen, et al.
Published: (2025)

Differentially Private Inductive Miner
by: Schulze, Max, et al.
Published: (2024)

Differentially Private Explanations for Clusters
by: Gilad, Amir, et al.
Published: (2025)

Privately Learning Decision Lists and a Differentially Private Winnow
by: Bun, Mark, et al.
Published: (2026)

Differentially Private Federated Learning With Time-Adaptive Privacy Spending
by: Kiani, Shahrzad, et al.
Published: (2025)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports
by: Ghazi, Badih, et al.
Published: (2024)

Improving Parameter-Efficient Federated Learning with Differentially Private Refactorization
by: Tran, Linh, et al.
Published: (2026)

Optimal Guarantees for Auditing Rényi Differentially Private Machine Learning
by: Kim, Benjamin D., et al.
Published: (2026)

Verified Foundations for Differential Privacy
by: de Medeiros, Markus, et al.
Published: (2024)

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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