Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
0803.3946
Cited By
v1
v2
v3
v4 (latest)
On the `Semantics' of Differential Privacy: A Bayesian Formulation
Journal of Privacy and Confidentiality (JPC), 2008
27 March 2008
S. Kasiviswanathan
Adam D. Smith
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"On the `Semantics' of Differential Privacy: A Bayesian Formulation"
50 / 77 papers shown
Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
Wenxuan Bao
Vincent Bindschaedler
AAML
309
0
0
21 Aug 2025
Augmented Shuffle Protocols for Accurate and Robust Frequency Estimation under Differential Privacy
IEEE Symposium on Security and Privacy (S&P), 2025
Takao Murakami
Yuichi Sei
Reo Eriguchi
301
5
0
10 Apr 2025
How Well Can Differential Privacy Be Audited in One Run?
Amit Keinan
Moshe Shenfeld
Katrina Ligett
477
3
0
10 Mar 2025
Enhancing Feature-Specific Data Protection via Bayesian Coordinate Differential Privacy
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Maryam Aliakbarpour
Syomantak Chaudhuri
T. Courtade
Alireza Fallah
Michael I. Jordan
302
1
0
24 Oct 2024
Inferentially-Private Private Information
The Web Conference (WWW), 2024
Shuaiqi Wang
Shuran Zheng
Zinan Lin
Giulia Fanti
Zhiwei Steven Wu
152
2
0
22 Oct 2024
Bayesian Inference Under Differential Privacy: Prior Selection Considerations with Application to Univariate Gaussian Data and Regression
Zeki Kazan
Jerome P. Reiter
206
1
0
22 May 2024
On the Privacy of Selection Mechanisms with Gaussian Noise
Jonathan Lebensold
Doina Precup
Borja Balle
409
3
0
09 Feb 2024
General Inferential Limits Under Differential and Pufferfish Privacy
International Journal of Approximate Reasoning (IJAR), 2024
J. Bailie
Ruobin Gong
365
3
0
27 Jan 2024
Privacy Amplification for Matrix Mechanisms
International Conference on Learning Representations (ICLR), 2023
Christopher A. Choquette-Choo
Arun Ganesh
Thomas Steinke
Abhradeep Thakurta
393
18
0
24 Oct 2023
An In-Depth Examination of Requirements for Disclosure Risk Assessment
Ron S. Jarmin
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
N. Goldschlag
...
Jerome P. Reiter
Rolando A. Rodríguez
Ian M. Schmutte
V. Velkoff
Pavel I Zhuravlev
307
11
0
13 Oct 2023
NetShaper: A Differentially Private Network Side-Channel Mitigation System
USENIX Security Symposium (USENIX Security), 2023
Amir Sabzi
Rut Vora
Swati Goswami
Margo Seltzer
Mathias Lécuyer
Aastha Mehta
227
7
0
10 Oct 2023
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
Neural Information Processing Systems (NeurIPS), 2023
Zeki Kazan
Jerome P. Reiter
293
18
0
19 Jun 2023
Fast, Distribution-free Predictive Inference for Neural Networks with Coverage Guarantees
Yue Gao
Garvesh Raskutti
Rebecca Willett
180
0
0
11 Jun 2023
Concentrated Geo-Privacy
Conference on Computer and Communications Security (CCS), 2023
Yuting Liang
K. Yi
306
8
0
31 May 2023
Privacy Auditing with One (1) Training Run
Neural Information Processing Systems (NeurIPS), 2023
Thomas Steinke
Milad Nasr
Matthew Jagielski
484
130
0
15 May 2023
General Gaussian Noise Mechanisms and Their Optimality for Unbiased Mean Estimation
Information Technology Convergence and Services (ITCS), 2023
Aleksandar Nikolov
Haohua Tang
317
5
0
31 Jan 2023
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions
Annual Conference Computational Learning Theory (COLT), 2023
Gavin Brown
Samuel B. Hopkins
Adam D. Smith
FedML
391
25
0
28 Jan 2023
The Bounded Gaussian Mechanism for Differential Privacy
Journal of Privacy and Confidentiality (JPC), 2022
Bo Chen
Matthew T. Hale
228
10
0
30 Nov 2022
Differentially Private Sampling from Distributions
Neural Information Processing Systems (NeurIPS), 2022
Sofya Raskhodnikova
Satchit Sivakumar
Adam D. Smith
Marika Swanberg
356
12
0
15 Nov 2022
Instance-Optimal Differentially Private Estimation
Audra McMillan
Adam D. Smith
Jonathan R. Ullman
242
8
0
28 Oct 2022
Control, Confidentiality, and the Right to be Forgotten
Conference on Computer and Communications Security (CCS), 2022
A. Cohen
Adam D. Smith
Marika Swanberg
Prashant Nalini Vasudevan
AILaw
MU
300
16
0
14 Oct 2022
DiPPS: Differentially Private Propensity Scores for Bias Correction
International Conference on Web and Social Media (ICWSM), 2022
Liang Chen
Valentin Hartmann
Robert West
294
1
0
05 Oct 2022
Algorithms with More Granular Differential Privacy Guarantees
Information Technology Convergence and Services (ITCS), 2022
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thomas Steinke
326
8
0
08 Sep 2022
Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census
Daniel Kifer
John M. Abowd
Robert Ashmead
Ryan Cumings-Menon
Philip Leclerc
Ashwin Machanavajjhala
William Sexton
Pavel I Zhuravlev
340
34
0
07 Sep 2022
Accountable Private Set Cardinality for Distributed Measurement
ACM Transactions on Privacy and Security (TOPS), 2022
Ellis Fenske
A. Mani
Aaron Johnson
Micah Sherr
86
5
0
30 Jun 2022
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints
Neural Information Processing Systems (NeurIPS), 2022
Justin Whitehouse
Zhiwei Steven Wu
Aaditya Ramdas
Ryan M. Rogers
406
13
0
15 Jun 2022
Confidentiality Protection in the 2020 US Census of Population and Housing
Annual Review of Statistics and Its Application (ARSIA), 2022
John M. Abowd
Michael B. Hawes
271
31
0
07 Jun 2022
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
366
178
0
06 May 2022
Formal Privacy for Partially Private Data
Jeremy Seeman
M. Reimherr
Aleksandra B. Slavkovic
309
3
0
03 Apr 2022
Fully Adaptive Composition in Differential Privacy
International Conference on Machine Learning (ICML), 2022
Justin Whitehouse
Aaditya Ramdas
Ryan M. Rogers
Zhiwei Steven Wu
415
54
0
10 Mar 2022
Does Label Differential Privacy Prevent Label Inference Attacks?
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Ruihan Wu
Jinfu Zhou
Kilian Q. Weinberger
Chuan Guo
153
20
0
25 Feb 2022
Differential Privacy for Symbolic Systems with Application to Markov Chains
Bo Chen
Kevin J. Leahy
Austin M. Jones
Matthew T. Hale
415
18
0
07 Feb 2022
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
Proceedings on Privacy Enhancing Technologies (PoPETs), 2022
Priyanka Nanayakkara
Johes Bater
Xi He
Jessica Hullman
Jennie Duggan
274
64
0
16 Jan 2022
Reconstructing Training Data with Informed Adversaries
IEEE Symposium on Security and Privacy (IEEE S&P), 2022
Borja Balle
Giovanni Cherubin
Jamie Hayes
MIACV
AAML
507
213
0
13 Jan 2022
The Price of Differential Privacy under Continual Observation
Palak Jain
Sofya Raskhodnikova
Satchit Sivakumar
Adam D. Smith
444
63
0
01 Dec 2021
Private Graph Data Release: A Survey
ACM Computing Surveys (CSUR), 2021
Yang D. Li
M. Purcell
Thierry Rakotoarivelo
David B. Smith
Thilina Ranbaduge
K. S. Ng
336
44
0
09 Jul 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation
Gavin Brown
Marco Gaboardi
Adam D. Smith
Jonathan R. Ullman
Lydia Zakynthinou
FedML
482
55
0
24 Jun 2021
Generalization in the Face of Adaptivity: A Bayesian Perspective
Neural Information Processing Systems (NeurIPS), 2021
Moshe Shenfeld
Katrina Ligett
315
6
0
20 Jun 2021
A Shuffling Framework for Local Differential Privacy
Casey Meehan
A. Chowdhury
Kamalika Chaudhuri
Somesh Jha
167
0
0
11 Jun 2021
Edge Differential Privacy for Algebraic Connectivity of Graphs
IEEE Conference on Decision and Control (CDC), 2021
Bo Chen
C. Hawkins
Kasra Yazdani
Matthew T. Hale
165
12
0
01 Apr 2021
Quantifying identifiability to choose and audit
ε
ε
ε
in differentially private deep learning
Proceedings of the VLDB Endowment (PVLDB), 2021
Daniel Bernau
Günther Eibl
Philip-William Grassal
Hannah Keller
Florian Kerschbaum
FedML
224
7
0
04 Mar 2021
Measuring Data Leakage in Machine-Learning Models with Fisher Information
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Awni Y. Hannun
Chuan Guo
Laurens van der Maaten
FedML
MIACV
387
66
0
23 Feb 2021
Kamino: Constraint-Aware Differentially Private Data Synthesis
Proceedings of the VLDB Endowment (PVLDB), 2020
Chang Ge
Shubhankar Mohapatra
Xi He
Ihab F. Ilyas
SyDa
405
53
0
31 Dec 2020
Is Private Learning Possible with Instance Encoding?
Nicholas Carlini
Samuel Deng
Sanjam Garg
S. Jha
Saeed Mahloujifar
Mohammad Mahmoody
Shuang Song
Abhradeep Thakurta
Florian Tramèr
MIACV
362
41
0
10 Nov 2020
Testing Differential Privacy with Dual Interpreters
Hengchu Zhang
Edo Roth
Andreas Haeberlen
B. Pierce
Aaron Roth
314
16
0
08 Oct 2020
Congenial Differential Privacy under Mandated Disclosure
Ruobin Gong
Xiangxu Meng
175
26
0
24 Aug 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things
Christopher Briggs
Zhong Fan
Péter András
367
15
0
24 Apr 2020
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications
Communications of the ACM (CACM), 2020
Sameer Wagh
Xi He
Ashwin Machanavajjhala
Prateek Mittal
304
23
0
19 Apr 2020
Differentially Private Formation Control
IEEE Conference on Decision and Control (CDC), 2020
C. Hawkins
Matthew T. Hale
357
20
0
06 Apr 2020
Guidelines for Implementing and Auditing Differentially Private Systems
Daniel Kifer
Solomon Messing
Aaron Roth
Abhradeep Thakurta
Qiang Yan
392
40
0
10 Feb 2020
1
2
Next
Page 1 of 2
