- Xinyu Tang 0003, Ashwinee Panda, Vikash Sehwag, Prateek Mittal. Differentially Private Image Classification by Learning Priors from Random Processes. J. Priv. Confidentiality, 15(1), 2025.
- John M. Abowd, Cynthia Dwork, Alan F. Karr, Jerome P. Reiter, Aleksandra B. Slavkovic. Changes to the Journal of Privacy and Confidentiality. J. Priv. Confidentiality, 15(1), 2025.
- Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund. Rethinking Disclosure Prevention with Pointwise Maximal Leakage. J. Priv. Confidentiality, 15(1), 2025.
- Andrew Lowy, Meisam Razaviyayn. Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter. J. Priv. Confidentiality, 15(1), 2025.
- Abraham Flaxman, Os Keyes. Risk of Linked Census Data to Transgender Youth: A Simulation Study. J. Priv. Confidentiality, 15(1), 2025.
- Arjun Wilkins, Daniel Kifer, Danfeng Zhang, Brian Karrer. Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism. J. Priv. Confidentiality, 14(1), 2024.
- 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. J. Priv. Confidentiality, 14(1), 2024.
- 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. J. Priv. Confidentiality, 14(3), 2024.
- Parastoo Sadeghi, Chien-Hung Chien. On the Connection Between the ABS Perturbation Methodology and Differential Privacy. J. Priv. Confidentiality, 14(2), 2024.
- Bo Chen, Matthew T. Hale. The Bounded Gaussian Mechanism for Differential Privacy. J. Priv. Confidentiality, 14(1), 2024.