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DOIs for this ISSN

Showing the top 5 of 211 DOIs, ordered by correction priority.

#	Title	Missing	Priority	Citations
1	Calibrating Noise to Sensitivity in Private Data Analysis (10.29012/jpc.v7i3.405)	References License	117.80	226
2	Differential Privacy in Practice: Expose your Epsilons! (10.29012/jpc.689)	References ORCID	101.67	107
3	Differential Privacy for Statistics: What we Know and What w… (10.29012/jpc.v1i2.570)	References ORCID	96.72	85
4	Consumer Data Privacy in a Networked World: A Framework for… (10.29012/jpc.v4i2.623)	Abstract References ORCID	90.31	15
5	On the Difficulties of Disclosure Prevention in Statistical… (10.29012/jpc.v2i1.585)	References ORCID	86.62	53
6	Practical Data Synthesis for Large Samples (10.29012/jpc.v7i3.407)	References License	83.60	46
7	The Bounded Laplace Mechanism in Differential Privacy (10.29012/jpc.715)	References ORCID	81.16	41
8	Protecting Consumer Privacy in an Era of Rapid Change–A Prop… (10.29012/jpc.v3i1.596)	Abstract References ORCID	80.94	11
9	Commercial Data Privacy and Innovation in the Internet Econo… (10.29012/jpc.v3i1.597)	Abstract References ORCID	80.94	11
10	Privacy via the Johnson-Lindenstrauss Transform (10.29012/jpc.v5i1.625)	References ORCID	79.55	38
11	Numerical Composition of Differential Privacy (10.29012/jpc.870)	References ORCID	72.36	27
12	How Can We Analyze Differentially-Private Synthetic Datasets… (10.29012/jpc.v2i2.589)	References ORCID	70.75	25
13	Privacy Profiles and Amplification by Subsampling (10.29012/jpc.726)	References ORCID	69.01	23
14	Probabilistic Record Linkage and Deduplication after Indexin… (10.29012/jpc.v7i1.643)	References ORCID	68.09	22
15	Between Pure and Approximate Differential Privacy (10.29012/jpc.v7i2.648)	References ORCID	68.09	22
16	Comparative Study of Differentially Private Synthetic Data A… (10.29012/jpc.748)	References ORCID	67.12	21
17	Differential Privacy on Finite Computers (10.29012/jpc.679)	References ORCID	66.11	20
18	An Analysis of Google Logs Retention Policies (10.29012/jpc.v3i1.593)	References ORCID	66.11	20
19	Privacy Violations Using Microtargeted Ads: A Case Study (10.29012/jpc.v3i1.594)	References ORCID	66.11	20
20	BLENDER: Enabling Local Search with a Hybrid Differential Pr… (10.29012/jpc.680)	References ORCID	63.94	18
21	Local Differential Privacy for Evolving Data (10.29012/jpc.718)	References ORCID	63.94	18
22	Schneier on Security: Privacy and Control (10.29012/jpc.v2i1.579)	Abstract References ORCID	63.38	6
23	Secure Multiparty Computation for Privacy-Preserving Data Mi… (10.29012/jpc.v1i1.566)	References	61.06	276
24	Differentially Private Confidence Intervals for Empirical Ri… (10.29012/jpc.660)	References ORCID	60.21	15
25	Anonymous Authentication (10.29012/jpc.v2i2.590)	References ORCID	58.80	14
26	Improving User Choice Through Better Mobile Apps Transparenc… (10.29012/jpc.v5i2.630)	References ORCID	58.80	14
27	Differentially Private Release of Datasets using Gaussian Co… (10.29012/jpc.686)	References ORCID	57.31	13
28	Silent Listeners: The Evolution of Privacy and Disclosure on… (10.29012/jpc.v4i2.620)	References	54.03	144
29	Linear Program Reconstruction in Practice (10.29012/jpc.711)	References ORCID	53.96	11
30	Manipulation Attacks in Local Differential Privacy (10.29012/jpc.754)	References ORCID	50.00	9
31	Per-instance Differential Privacy (10.29012/jpc.662)	References ORCID	47.71	8
32	On the Privacy and Utility Properties of Triple Matrix-Maski… (10.29012/jpc.674)	References ORCID	47.71	8
33	How Will Statistical Agencies Operate When All Data Are Priv… (10.29012/jpc.v7i3.404)	References License	47.71	8
34	Subsampled Rényi Differential Privacy and Analytical Moments… (10.29012/jpc.723)	References	47.44	78
35	On the 'Semantics' of Differential Privacy: A Bayesian Formu… (10.29012/jpc.v6i1.634)	References	47.02	75
36	Learning in a Large Function Space: Privacy-Preserving Mecha… (10.29012/jpc.v4i1.612)	References	46.88	74
37	Face Recognition and Privacy in the Age of Augmented Reality (10.29012/jpc.v6i2.638)	References	46.88	74
38	Differentially Private Ordinary Least Squares (10.29012/jpc.654)	References ORCID	45.15	7
39	Differentially Private Inference for Binomial Data (10.29012/jpc.725)	References ORCID	45.15	7
40	Microdata access and privacy (10.29012/jpc.766)	References ORCID	45.15	7
41	Multiple Imputation for Disclosure Limitation: Future Resear… (10.29012/jpc.v1i2.575)	Abstract References	45.15	7
42	On the Meaning and Limits of Empirical Differential Privacy (10.29012/jpc.v7i3.406)	References ORCID License	45.15	3
43	Discrete Gaussian for Differential Privacy (10.29012/jpc.784)	References	44.45	59
44	Global Measures of Data Utility for Microdata Masked for Dis… (10.29012/jpc.v1i1.568)	References	44.27	58
45	Winning the NIST Contest: A scalable and general approach to… (10.29012/jpc.778)	References	42.47	49
46	The Fienberg Problem: How to Allow Human Interactive Data An… (10.29012/jpc.687)	References ORCID	42.25	6
47	On Privacy in the Age of COVID-19 (10.29012/jpc.749)	Abstract References	42.25	6
48	Partial Information Releases for Confidential Contingency Ta… (10.29012/jpc.v1i2.577)	References ORCID	42.25	6
49	On Privacy and Public Data: a Study of data.gov.uk (10.29012/jpc.v3i1.595)	References ORCID	42.25	6
50	How Uncertainty about Privacy and Confidentiality is Hamperi… (10.29012/jpc.v3i2.599)	References ORCID	42.25	6