- 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.
- Jörg Drechsler, Ruobin Gong, Weijie Su 0001, Linjun Zhang. Foreword for the Collection of Papers from the Workshop on the Analysis of Census Noisy Measurement Files and Differential Privacy. J. Priv. Confidentiality, 14(3), 2024.
- Jeremy Seeman. Perspective: Better Privacy Theorists for Better Data Stewards. J. Priv. Confidentiality, 14(3), 2024.
- Aleksandar Nikolov. Private Query Release via the Johnson-Lindenstrauss Transform. J. Priv. Confidentiality, 14(2), 2024.
- Saeyoung Rho, Rachel Cummings, Vishal Misra. Differentially Private Synthetic Control. J. Priv. Confidentiality, 14(2), 2024.
- Prottay Protivash, John Durrell, Daniel Kifer, Zeyu Ding 0001, Danfeng Zhang. Reconstruction Attacks on Aggressive Relaxations of Differential Privacy. J. Priv. Confidentiality, 14(3), 2024.