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Concentrated Differential Privacy: Simplifications, Extensions, and
  Lower Bounds

Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds

6 May 2016
Mark Bun
Thomas Steinke
ArXiv (abs)PDFHTML

Papers citing "Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds"

50 / 458 papers shown
Differentially Private and Federated Structure Learning in Bayesian Networks
Differentially Private and Federated Structure Learning in Bayesian Networks
Ghita Fassy El Fehri
Aurélien Bellet
Philippe Bastien
FedML
220
0
0
01 Dec 2025
Infinitely divisible privacy and beyond I: resolution of the $s^2=2k$ conjecture
Infinitely divisible privacy and beyond I: resolution of the s2=2ks^2=2ks2=2k conjecture
Aaradhya Pandey
A. Maleki
Sanjeev Kulkarni
105
0
0
30 Nov 2025
Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
Gauri Pradhan
Joonas Jälkö
Santiago Zanella Béguelin
Antti Honkela
158
0
0
26 Nov 2025
Differentially private testing for relevant dependencies in high dimensions
Differentially private testing for relevant dependencies in high dimensions
Patrick Bastian
Holger Dette
Martin Dunsche
184
0
0
21 Nov 2025
Rényi Differential Privacy for Heavy-Tailed SDEs via Fractional Poincaré Inequalities
Rényi Differential Privacy for Heavy-Tailed SDEs via Fractional Poincaré Inequalities
Benjamin Dupuis
Mert Gurbuzbalaban
Umut Simsekli
Jian Wang
Sinan Yildirim
Lingjiong Zhu
108
0
0
19 Nov 2025
Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis
Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis
Kai Chen
Chen Gong
Tianhao Wang
138
0
0
17 Nov 2025
Nearly-Optimal Private Selection via Gaussian Mechanism
Nearly-Optimal Private Selection via Gaussian Mechanism
Ethan Leeman
Pasin Manurangsi
MLT
91
0
0
10 Nov 2025
Differentially Private In-Context Learning with Nearest Neighbor Search
Differentially Private In-Context Learning with Nearest Neighbor Search
A. Koskela
Tejas D. Kulkarni
Laith Zumot
181
0
0
06 Nov 2025
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via $f$-Differential Privacy
Mitigating Privacy-Utility Trade-off in Decentralized Federated Learning via fff-Differential Privacy
Xiang Li
Buxin Su
Chendi Wang
Qi Long
Weijie J. Su
FedML
240
4
0
22 Oct 2025
How to Get Actual Privacy and Utility from Privacy Models: the k-Anonymity and Differential Privacy Families
How to Get Actual Privacy and Utility from Privacy Models: the k-Anonymity and Differential Privacy Families
J. Domingo-Ferrer
David Sánchez
196
1
0
13 Oct 2025
An information theorist's tour of differential privacy
An information theorist's tour of differential privacy
Anand D. Sarwate
Flavio du Pin Calmon
O. Kosut
Lalitha Sankar
147
0
0
11 Oct 2025
Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
Junki Mori
Kazuya Kakizaki
Taiki Miyagawa
Jun Sakuma
SILMSyDa
221
1
0
08 Oct 2025
Adjusting the Output of Decision Transformer with Action Gradient
Adjusting the Output of Decision Transformer with Action Gradient
Rui Lin
Yiwen Zhang
Zhicheng Peng
Minghao Lyu
OffRL
128
1
0
06 Oct 2025
Private Federated Multiclass Post-hoc Calibration
Private Federated Multiclass Post-hoc Calibration
Samuel Maddock
Graham Cormode
Carsten Maple
FedML
199
0
0
02 Oct 2025
Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
Accuracy-First Rényi Differential Privacy and Post-Processing Immunity
Ossi Raisa
A. Koskela
Antti Honkela
126
0
0
26 Sep 2025
Efficiently Attacking Memorization Scores
Efficiently Attacking Memorization Scores
Tue Do
Varun Chandrasekaran
Daniel Alabi
TDIAAML
312
0
0
24 Sep 2025
Practitioners' Perspectives on a Differential Privacy Deployment Registry
Practitioners' Perspectives on a Differential Privacy Deployment Registry
Priyanka Nanayakkara
Elena Ghazi
Salil Vadhan
233
1
0
16 Sep 2025
Public Data Assisted Differentially Private In-Context Learning
Public Data Assisted Differentially Private In-Context Learning
Seongho Joo
Hyukhun Koh
Kyomin Jung
154
1
0
13 Sep 2025
An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy
An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy
Yaohong Yang
Aki Rehn
Sammie Katt
Antti Honkela
Samuel Kaski
192
0
0
04 Sep 2025
Beyond Ordinary Lipschitz Constraints: Differentially Private Stochastic Optimization with Tsybakov Noise Condition
Beyond Ordinary Lipschitz Constraints: Differentially Private Stochastic Optimization with Tsybakov Noise Condition
Difei Xu
Meng Ding
Zihang Xiang
Jinhui Xu
Haiyan Zhao
244
2
0
04 Sep 2025
Statistics-Friendly Confidentiality Protection for Establishment Data, with Applications to the QCEW
Statistics-Friendly Confidentiality Protection for Establishment Data, with Applications to the QCEW
Kaitlyn Webb
Prottay Protivash
J. Durrell
Daniell Toth
Aleksandra Slavković
Daniel Kifer
169
0
0
01 Sep 2025
Enhancing Differentially Private Linear Regression via Public Second-Moment
Enhancing Differentially Private Linear Regression via Public Second-Moment
Zilong Cao
Hai Zhang
116
0
0
25 Aug 2025
Rao Differential Privacy
Rao Differential Privacy
Carlos Soto
92
0
0
23 Aug 2025
Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
Towards Reliable and Generalizable Differentially Private Machine Learning (Extended Version)
Wenxuan Bao
Vincent Bindschaedler
AAML
307
0
0
21 Aug 2025
Private Hyperparameter Tuning with Ex-Post Guarantee
Private Hyperparameter Tuning with Ex-Post Guarantee
Badih Ghazi
Pritish Kamath
Alexander Knop
Ravi Kumar
Pasin Manurangsi
Chiyuan Zhang
219
2
0
21 Aug 2025
Mo' Memory, Mo' Problems: Stream-Native Machine Unlearning
Mo' Memory, Mo' Problems: Stream-Native Machine Unlearning
Kennon Stewart
MU
222
0
0
13 Aug 2025
Decentralized Differentially Private Power Method
Decentralized Differentially Private Power Method
Andrew Campbell
Anna Scaglione
S. Peisert
148
0
0
30 Jul 2025
Towards Privacy-preserving Photorealistic Self-avatars in Mixed Reality
Towards Privacy-preserving Photorealistic Self-avatars in Mixed Reality
Ethan Wilson
Vincent Bindschaedler
Sophie Jorg
Sean Sheikholeslam
Kevin R. B. Butler
Eakta Jain
PICV
341
2
0
29 Jul 2025
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
B. Kulynych
Juan Felipe Gomez
G. Kaissis
Jamie Hayes
Borja Balle
Flavio du Pin Calmon
Jean Louis Raisaro
358
7
0
09 Jul 2025
InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
Vishnu Vinod
Krishna Pillutla
Abhradeep Thakurta
SILMSyDa
239
2
0
30 Jun 2025
Practical and Accurate Local Edge Differentially Private Graph Algorithms
Practical and Accurate Local Edge Differentially Private Graph AlgorithmsProceedings of the VLDB Endowment (PVLDB), 2025
Pranay Mundra
Charalampos Papamanthou
Julian Shun
Quanquan C. Liu
248
1
0
25 Jun 2025
A Novel Approach to Differential Privacy with Alpha Divergence
A Novel Approach to Differential Privacy with Alpha DivergenceIEEE Computer Security Foundations Symposium (CSF), 2025
Yifeng Liu
Zehua Wang
193
0
0
20 Jun 2025
Private Continual Counting of Unbounded Streams
Private Continual Counting of Unbounded Streams
Ben Jacobsen
Kassem Fawaz
230
0
0
17 Jun 2025
Synthetic Tabular Data: Methods, Attacks and Defenses
Synthetic Tabular Data: Methods, Attacks and DefensesProceedings of the VLDB Endowment (PVLDB), 2025
Graham Cormode
Samuel Maddock
Enayat Ullah
Shripad Gade
289
4
0
06 Jun 2025
Residual-PAC Privacy: Automatic Privacy Control Beyond the Gaussian Barrier
Residual-PAC Privacy: Automatic Privacy Control Beyond the Gaussian Barrier
Tao Zhang
Yevgeniy Vorobeychik
291
2
0
06 Jun 2025
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
Roie Reshef
Kfir Y. Levy
FedML
261
0
0
03 Jun 2025
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
The Gaussian Mixing Mechanism: Renyi Differential Privacy via Gaussian Sketches
Omri Lev
Vishwak Srinivasan
Moshe Shenfeld
Katrina Ligett
Ayush Sekhari
Ashia Wilson
320
2
0
30 May 2025
Private Lossless Multiple Release
Private Lossless Multiple Release
Joel Daniel Andersson
Lukas Retschmeier
Boel Nelson
Rasmus Pagh
156
0
0
28 May 2025
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential PrivacyIEEE Symposium on Security and Privacy (S&P), 2025
Nicolas Küchler
Alexander Viand
Hidde Lycklama
Anwar Hithnawi
340
1
0
10 May 2025
SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)
SafeTab-P: Disclosure Avoidance for the 2020 Census Detailed Demographic and Housing Characteristics File A (Detailed DHC-A)
Sam Haney
Skye Berghel
Bayard Carlson
Ryan Cumings-Menon
Luke Hartman
...
Simran Rajpal
David Pujol
William Sexton
Ruchit Shrestha
Daniel Simmons-Marengo
211
1
0
02 May 2025
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
Haochen Sun
Xi He
389
1
0
30 Apr 2025
Density-Aware Noise Mechanisms for Differential Privacy on Riemannian Manifolds via Conformal Transformation
Density-Aware Noise Mechanisms for Differential Privacy on Riemannian Manifolds via Conformal Transformation
Peilin He
Liou Tang
M. Amin Rahimian
James Joshi
439
0
0
29 Apr 2025
Benchmarking Differentially Private Tabular Data Synthesis
Benchmarking Differentially Private Tabular Data Synthesis
Kai Chen
Xiaochen Li
Chen Gong
Ryan McKenna
Tianhao Wang
303
9
0
18 Apr 2025
Differentially Private Geodesic Regression
Differentially Private Geodesic Regression
Aditya Kulkarni
Carlos Soto
362
0
0
15 Apr 2025
Towards Optimal Differentially Private Regret Bounds in Linear MDPs
Towards Optimal Differentially Private Regret Bounds in Linear MDPs
Sharan Sahu
502
0
0
12 Apr 2025
Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
Hyoungwook Jin
Yoonsu Kim
Dongyun Jung
Seungju Kim
Kiyoon Choi
J. Son
Juho Kim
Jinho Son
Juho Kim
LRM
406
14
0
01 Apr 2025
Purifying Approximate Differential Privacy with Randomized Post-processing
Purifying Approximate Differential Privacy with Randomized Post-processingIEEE Transactions on Visualization and Computer Graphics (TVCG), 2025
Yingyu Lin
Erchi Wang
Yi-An Ma
Yu-Xiang Wang
389
2
0
27 Mar 2025
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors
Hilal Asi
Vitaly Feldman
Hannah Keller
G. Rothblum
Kunal Talwar
FedML
409
1
0
14 Mar 2025
Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning
Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning
Juan Felipe Gomez
B. Kulynych
G. Kaissis
Jamie Hayes
Jamie Hayes
Borja Balle
Antti Honkela
468
0
0
13 Mar 2025
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Leveraging Randomness in Model and Data Partitioning for Privacy Amplification
Andy Dong
Wei-Ning Chen
Ayfer Özgür
FedML
408
5
0
04 Mar 2025
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