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ORCIDJournal of Privacy and Confidentiality, Volume 14
Volume 14, Number 1, 2024
- Sivakanth Gopi, Yin Tat Lee, Lukas Wutschitz:
Numerical Composition of Differential Privacy. - Tamara T. Mueller
, Dmitrii Usynin, Johannes C. Paetzold, Rickmer Braren, Daniel Rueckert, Georgios Kaissis:
Differentially Private Guarantees for Analytics and Machine Learning on Graphs: A Survey of Results. - Sivakanth Gopi, Yin Tat Lee, Daogao Liu:
Private Convex Optimization via Exponential Mechanism. - Arjun Wilkins, Daniel Kifer, Danfeng Zhang, Brian Karrer:
Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. - Bo Chen, Matthew T. Hale:
The Bounded Gaussian Mechanism for Differential Privacy.
Volume 14, Number 2, 2024
- Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang:
Differentially Private Fine-tuning of Language Models. - Saeyoung Rho, Rachel Cummings, Vishal Misra:
Differentially Private Synthetic Control. - Parastoo Sadeghi, Chien-Hung Chien:
On the Connection Between the ABS Perturbation Methodology and Differential Privacy. - Aleksandar Nikolov:
Private Query Release via the Johnson-Lindenstrauss Transform. - Yuzhou Gu, Ziqi Zhou, Onur Günlü, Rafael G. L. D'Oliveira, Parastoo Sadeghi, Muriel Médard, Rafael F. Schaefer:
Generalized Rainbow Differential Privacy.
Volume 14, Number 3, 2024
- Joshua Snoke, Claire McKay Bowen, Aaron R. Williams, Andrés F. Barrientos:
Incompatibilities Between Current Practices in Statistical Data Analysis and Differential Privacy. - Prottay Protivash, John Durrell, Daniel Kifer, Zeyu Ding, Danfeng Zhang:
Reconstruction Attacks on Aggressive Relaxations of Differential Privacy. - Ryan Cumings-Menon, Robert Ashmead, Daniel Kifer, Philip Leclerc, Jeffrey Ocker, Michael Ratcliffe, Pavel Zhuravlev, John M. Abowd:
Geographic Spines in the 2020 Census Disclosure Avoidance System. - John M. Abowd, Cynthia Dwork, Alan F. Karr, Kobbi Nissim, Jerome P. Reiter, Aleksandra B. Slavkovic, Lars Vilhuber:
Launching the Society for Privacy and Confidentiality Research to Own the Journal of Privacy and Confidentiality. - Jeremy Seeman:
Perspective: Better Privacy Theorists for Better Data Stewards. - Jörg Drechsler, Ruobin Gong, Weijie Su, Linjun Zhang:
Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy.
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