Ashwin Machanavajjhala

Proc. VLDB Endow., July, 2024

Slowly Scaling Per-Record Differential Privacy.

[BibT_eX]

[DOI]

Brian Finley

Anthony M. Caruso

Justin C. Doty

CoRR, 2024

2023

Optimizing Error of High-Dimensional Statistical Queries Under Differential Privacy.

[BibT_eX]

[DOI]

Ryan McKenna

J. Priv. Confidentiality, August, 2023

R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys.

[BibT_eX]

[DOI]

SIGMOD Rec., 2023

Longshot: Indexing Growing Databases using MPC and Differential Privacy.

[BibT_eX]

[DOI]

Yanping Zhang

Proc. VLDB Endow., 2023

Explaining Differentially Private Query Results With DPXPlain.

[BibT_eX]

[DOI]

Tingyu Wang

Proc. VLDB Endow., 2023

PreFair: Privately Generating Justifiably Fair Synthetic Data.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

DP-PQD: Privately Detecting Per-Query Gaps In Synthetic Data Generated By Black-Box Mechanisms.

[BibT_eX]

[DOI]

Shweta Patwa

Danyu Sun

Proc. VLDB Endow., 2023

Private Proof-of-Stake Blockchains using Differentially-private Stake Distortion.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2023

Publishing Wikipedia usage data with strong privacy guarantees.

[BibT_eX]

[DOI]

Tom Magerlein

Gabriele Modena

Daniel Simmons-Marengo

Hal Triedman

CoRR, 2023

2022

DPXPlain: Privately Explaining Aggregate Query Answers.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Multi-Analyst Differential Privacy for Online Query Answering.

[BibT_eX]

[DOI]

Albert Sun

Brandon Fain

Proc. VLDB Endow., 2022

Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy.

[BibT_eX]

[DOI]

CoRR, 2022

Bayesian and Frequentist Semantics for Common Variations of Differential Privacy: Applications to the 2020 Census.

[BibT_eX]

[DOI]

William Sexton

Pavel Zhuravlev

CoRR, 2022

The 2020 Census Disclosure Avoidance System TopDown Algorithm.

[BibT_eX]

[DOI]

CoRR, 2022

IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

Budget Sharing for Multi-Analyst Differential Privacy.

[BibT_eX]

[DOI]

Yikai Wu

Brandon Fain

Proc. VLDB Endow., 2021

Equity and Privacy: More Than Just a Tradeoff.

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2021

Benchmarking Differentially Private Synthetic Data Generation Algorithms.

[BibT_eX]

[DOI]

Ryan McKenna

CoRR, 2021

Differentially Private Algorithms for 2020 Census Detailed DHC Race \& Ethnicity.

[BibT_eX]

[DOI]

William Sexton

CoRR, 2021

HDMM: Optimizing error of high-dimensional statistical queries under differential privacy.

[BibT_eX]

[DOI]

Ryan McKenna

CoRR, 2021

Prior-Aware Distribution Estimation for Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2021

DP-cryptography: marrying differential privacy and cryptography in emerging applications.

[BibT_eX]

[DOI]

Sameer Wagh

Prateek Mittal

Commun. ACM, 2021

DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Synthesizing Linked Data Under Cardinality and Integrity Constraints.

[BibT_eX]

[DOI]

Shweta Patwa

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Practical Security and Privacy for Database Systems.

[BibT_eX]

[DOI]

Xiao Wang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

ϵKTELO: A Framework for Defining Differentially Private Computations.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2020

Computing Local Sensitivities of Counting Queries with Joins.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Management of Data, 2020

Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers.

[BibT_eX]

[DOI]

Amrita Roy Chowdhury

Somesh Jha

Proceedings of the 2020 International Conference on Management of Data, 2020

Poirot: private contact summary aggregation: poster abstract.

[BibT_eX]

[DOI]

Lavanya Vasudevan

Jun Yang

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

One-sided Differential Privacy.

[BibT_eX]

[DOI]

Stelios Doudalis

Sharad Mehrotra

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Fair decision making using privacy-protected data.

[BibT_eX]

[DOI]

Proceedings of the FAT* '20: Conference on Fairness, 2020

2019

#8712;: A Framework for Defining Differentially-Private Computations.

[BibT_eX]

[DOI]

SIGMOD Rec., 2019

PrivateSQL: A Differentially Private SQL Query Engine.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

PSynDB: Accurate and Accessible Private Data Generation.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Olympus: Sensor Privacy through Utility Aware Obfuscation.

[BibT_eX]

[DOI]

Jerry Pan

Proc. Priv. Enhancing Technol., 2019

Releasing Earnings Distributions using Differential Privacy - Disclosure Avoidance System For Post-Secondary Employment Outcomes (PSEO).

[BibT_eX]

[DOI]

Andrew David Foote

Kevin McKinney

J. Priv. Confidentiality, 2019

Answering Summation Queries for Numerical Attributes under Differential Privacy.

[BibT_eX]

[DOI]

Yikai Wu

CoRR, 2019

Outis: Crypto-Assisted Differential Privacy on Untrusted Servers.

[BibT_eX]

[DOI]

Amrita Roy Chowdhury

Somesh Jha

CoRR, 2019

Privacy Changes Everything.

[BibT_eX]

[DOI]

Madhav Suresh

Xiao Wang

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2019

APEx: Accuracy-Aware Differentially Private Data Exploration.

[BibT_eX]

[DOI]

Chang Ge

Ihab F. Ilyas

Proceedings of the 2019 International Conference on Management of Data, 2019

Capacity Bounded Differential Privacy.

[BibT_eX]

[DOI]

Kamalika Chaudhuri

Jacob Imola

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Permissions Plugins as Android Apps.

[BibT_eX]

[DOI]

Ali Razeen

Andrew Warfield

Proceedings of the 17th Annual International Conference on Mobile Systems, 2019

PrivStream: Differentially Private Event Detection on Data Streams.

[BibT_eX]

[DOI]

Maryam Fanaeepour

Proceedings of the Ninth ACM Conference on Data and Application Security and Privacy, 2019

Architecting a Differentially Private SQL Engine.

[BibT_eX]

[DOI]

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Analyzing Your Location Data with Provable Privacy Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Mobile Data Privacy., 2018

Randomization Methods to Ensure Data Privacy.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Differentially Private Hierarchical Count-of-Counts Histograms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2018

ShrinkWrap: Efficient SQL Query Processing in Differentially Private Data Federations.

[BibT_eX]

[DOI]

William Ehrich

Proc. VLDB Endow., 2018

Is my model any good: differentially private regression diagnostics.

[BibT_eX]

[DOI]

Andrés F. Barrientos

Knowl. Inf. Syst., 2018

Shrinkwrap: Differentially-Private Query Processing in Private Data Federations.

[BibT_eX]

[DOI]

William Ehrich

CoRR, 2018

Differentially Private Hierarchical Group Size Estimation.

[BibT_eX]

[DOI]

CoRR, 2018

EKTELO: A Framework for Defining Differentially-Private Computations.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Management of Data, 2018

IoT-Detective: Analyzing IoT Data Under Differential Privacy.

[BibT_eX]

[DOI]

Sameera Ghayyur

Roberto Yus

Sharad Mehrotra

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

Private Exploration Primitives for Data Cleaning.

[BibT_eX]

[DOI]

Chang Ge

Ihab F. Ilyas

CoRR, 2017

Scaling Private Record Linkage using Output Constrained Differential Privacy.

[BibT_eX]

[DOI]

Cheryl J. Flynn

Divesh Srivastava

CoRR, 2017

Privacy-Preserving Data Analysis for the Federal Statistical Agencies.

[BibT_eX]

[DOI]

CoRR, 2017

Directed Edge Recommender System.

[BibT_eX]

[DOI]

Elena Zheleva

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Pythia: Data Dependent Differentially Private Algorithm Selection.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

DIAS: Differentially Private Interactive Algorithm Selection using Pythia.

[BibT_eX]

[DOI]

Margaret Orr

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

ePrivateeye: to the edge and beyond!

[BibT_eX]

[DOI]

Christopher Streiffer

Proceedings of the Second ACM/IEEE Symposium on Edge Computing, San Jose / Silicon Valley, 2017

Protecting Visual Secrets Using Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage.

[BibT_eX]

[DOI]

Cheryl J. Flynn

Divesh Srivastava

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

PeGaSus: Data-Adaptive Differentially Private Stream Processing.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

2016

Differential Privacy in the Wild: A tutorial on current practices & open challenges.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

A Demonstration of VisDPT: Visual Exploration of Differentially Private Trajectories.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2016

Exploring Privacy-Accuracy Tradeoffs using DPComp.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Management of Data, 2016

Principled Evaluation of Differentially Private Algorithms using DPBench.

[BibT_eX]

[DOI]

Dan Zhang

Proceedings of the 2016 International Conference on Management of Data, 2016

Demo: What You Mark is What Apps See.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

What You Mark is What Apps See.

[BibT_eX]

[DOI]

Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Ayumu: Efficient lifelogging with focused tasks.

[BibT_eX]

[DOI]

Benjamin Stoddard

Kate O'Hanlon

Brian Lin

Proceedings of the 8th EAI International Conference on Mobile Computing, 2016

Differentially Private Regression Diagnostics.

[BibT_eX]

[DOI]

Andrés F. Barrientos

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

DPT: Differentially Private Trajectory Synthesis Using Hierarchical Reference Systems.

[BibT_eX]

[DOI]

Graham Cormode

Cecilia M. Procopiuc

Divesh Srivastava

Proc. VLDB Endow., 2015

Design of Policy-Aware Differentially Private Algorithms.

[BibT_eX]

[DOI]

Bolin Ding

Proc. VLDB Endow., 2015

On the Privacy Properties of Variants on the Sparse Vector Technique.

[BibT_eX]

[DOI]

CoRR, 2015

Designing statistical privacy for your data.

[BibT_eX]

[DOI]

Commun. ACM, 2015

2014

Pufferfish: A framework for mathematical privacy definitions.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2014

Privacy preserving interactive record linkage (PPIRL).

[BibT_eX]

[DOI]

Hye-Chung Kum

Ashok K. Krishnamurthy

Michael K. Reiter

Stanley C. Ahalt

J. Am. Medical Informatics Assoc., 2014

Differentially Private Algorithms for Empirical Machine Learning.

[BibT_eX]

[DOI]

Ben Stoddard

CoRR, 2014

Answering Query Workloads with Optimal Error under Blowfish Privacy.

[BibT_eX]

[DOI]

Ashok Kumar Krishnamurthy

Bolin Ding

CoRR, 2014

Social Genome: Putting Big Data to Work for Population Informatics.

[BibT_eX]

[DOI]

Hye-Chung Kum

Stanley C. Ahalt

Computer, 2014

Blowfish privacy: tuning privacy-utility trade-offs using policies.

[BibT_eX]

[DOI]

Bolin Ding

Proceedings of the International Conference on Management of Data, 2014

MarkIt: privacy markers for protecting visual secrets.

[BibT_eX]

[DOI]

Animesh Srivastava

Kiron Lebeck

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

2013

A SPARSI: Partitioning Sensitive Data amongst Multiple Adversaries.

[BibT_eX]

[DOI]

Theodoros Rekatsinas

Amol Deshpande

Proc. VLDB Endow., 2013

WOO: A Scalable and Multi-tenant Platform for Continuous Knowledge Base Synthesis.

[BibT_eX]

[DOI]

Kedar Bellare

Carlo Curino

Peter Mika

Mandar Rahurkar

Aamod Sane

Proc. VLDB Endow., 2013

On Sharing Private Data with Multiple Non-Colluding Adversaries

[BibT_eX]

[DOI]

Theodoros Rekatsinas

Amol Deshpande

CoRR, 2013

Network sampling.

[BibT_eX]

[DOI]

Lise Getoor

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Entity resolution for big data.

[BibT_eX]

[DOI]

Lise Getoor

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Finding connected components in map-reduce in logarithmic rounds.

[BibT_eX]

[DOI]

Vibhor Rastogi

Laukik Chitnis

Anish Das Sarma

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

curso: protect yourself from curse of attribute inference: a social network privacy-analyzer.

[BibT_eX]

[DOI]

Eunsu Ryu

Yao Rong

Jie Li

Proceedings of the 3rd ACM SIGMOD Workshop on Databases and Social Networks, 2013

Scalable Social Coordination with Group Constraints using Enmeshed Queries.

[BibT_eX]

[DOI]

Jianjun Chen

George Varghese

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

Publishing Search Logs - A Comparative Study of Privacy Guarantees.

[BibT_eX]

[DOI]

Michaela Götz

Guozhang Wang

Xiaokui Xiao

IEEE Trans. Knowl. Data Eng., 2012

Entity Resolution: Theory, Practice & Open Challenges.

[BibT_eX]

[DOI]

Lise Getoor

Proc. VLDB Endow., 2012

An Analysis of Structured Data on the Web.

[BibT_eX]

[DOI]

Nilesh N. Dalvi

Bo Pang

Proc. VLDB Endow., 2012

Big privacy: protecting confidentiality in big data.

[BibT_eX]

[DOI]

XRDS, 2012

Scalable Social Coordination using Enmeshed Queries

[BibT_eX]

[DOI]

Jianjun Chen

George Varghese

CoRR, 2012

Information integration over time in unreliable and uncertain environments.

[BibT_eX]

[DOI]

Aditya Pal

Vibhor Rastogi

Proceedings of the 21st World Wide Web Conference 2012, 2012

A rigorous and customizable framework for privacy.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2012

An automatic blocking mechanism for large-scale de-duplication tasks.

[BibT_eX]

[DOI]

Anish Das Sarma

Ankur Jain

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Challenges in enabling social application at scale: cloudDB'12 invited-keynote talk abstract.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Workshop on Cloud Data Management, 2012

2011

E-Privacy.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Cryptography and Security, 2nd Ed., 2011

Load Balancing and Range Queries in P2P Systems Using P-Ring.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2011

Personalized Social Recommendations - Accurate or Private?

[BibT_eX]

[DOI]

Aleksandra Korolova

Atish Das Sarma

Proc. VLDB Endow., 2011

CBLOCK: An Automatic Blocking Mechanism for Large-Scale De-duplication Tasks

[BibT_eX]

[DOI]

Anish Das Sarma

Ankur Jain

CoRR, 2011

Highly efficient algorithms for structural clustering of large websites.

[BibT_eX]

[DOI]

Lorenzo Blanco

Nilesh N. Dalvi

Proceedings of the 20th International Conference on World Wide Web, 2011

Collective extraction from heterogeneous web lists.

[BibT_eX]

[DOI]

Arun Shankar Iyer

Srujana Merugu

Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

No free lunch in data privacy.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Sampling hidden objects using nearest-neighbor oracles.

[BibT_eX]

[DOI]

Nilesh N. Dalvi

Ravi Kumar

Vibhor Rastogi

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Feed following: the big data challenge in social applications.

[BibT_eX]

[DOI]

Adam Silberstein

Raghu Ramakrishnan

Proceedings of the First ACM SIGMOD Workshop on Databases and Social Networks, 2011

2010

On the (Im)possibility of Preserving Utility and Privacy in Personalized Social Recommendations.

[BibT_eX]

[DOI]

Aleksandra Korolova

Atish Das Sarma

CoRR, 2010

Privacy in data publishing.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on Data Engineering, 2010

2009

Randomization Methods to Ensure Data Privacy.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

Data Publishing against Realistic Adversaries.

[BibT_eX]

[DOI]

Michaela Götz

Proc. VLDB Endow., 2009

Privacy-Preserving Data Publishing.

[BibT_eX]

[DOI]

Bee-Chung Chen

Kristen LeFevre

Found. Trends Databases, 2009

Privacy in Search Logs

[BibT_eX]

[DOI]

Michaela Götz

Guozhang Wang

Xiaokui Xiao

CoRR, 2009

2008

Defining and Enforcing Privacy in Data Sharing.

[BibT_eX]

PhD thesis, 2008

Scalable ranked publish/subscribe.

[BibT_eX]

[DOI]

Erik Vee

Minos N. Garofalakis

Proc. VLDB Endow., 2008

Privacy: Theory meets Practice on the Map.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Data Engineering, 2008

2007

<i>L</i>-diversity: Privacy beyond <i>k</i>-anonymity.

[BibT_eX]

[DOI]

Muthuramakrishnan Venkitasubramaniam

ACM Trans. Knowl. Discov. Data, 2007

P-ring: an efficient and robust P2P range index structure.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

Worst-Case Background Knowledge for Privacy-Preserving Data Publishing.

[BibT_eX]

[DOI]

David J. Martin

Joseph Y. Halpern

Proceedings of the 23rd International Conference on Data Engineering, 2007

2006

On the efficiency of checking perfect privacy.

[BibT_eX]

[DOI]

Muthuramakrishnan Venkitasubramaniam

Proceedings of the Twenty-Fifth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2006

Trusted CVS.

[BibT_eX]

[DOI]

David J. Martin

Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

l-Diversity: Privacy Beyond k-Anonymity.

[BibT_eX]

[DOI]

Muthuramakrishnan Venkitasubramaniam

Proceedings of the 22nd International Conference on Data Engineering, 2006

2004

A storage and indexing framework for p2p systems.

[BibT_eX]

[DOI]

Proceedings of the 13th international conference on World Wide Web, 2004

An Indexing Framework for Peer-to-Peer Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2004

2002

On perfectly secure cmmunication over arbitrary networks.

[BibT_eX]

[DOI]

Pranava R. Goundan

Proceedings of the Twenty-First Annual ACM Symposium on Principles of Distributed Computing, 2002

Theory of Equal-Flows in Networks.

[BibT_eX]

[DOI]

Pranava R. Goundan

R. Nandakumar

Proceedings of the Computing and Combinatorics, 8th Annual International Conference, 2002

Asynchronous Secure Communication Tolerating Mixed Adversaries.

[BibT_eX]

[DOI]

Proceedings of the Advances in Cryptology, 2002

Asynchronous Perfectly Secure Computation Tolerating Generalized Adversaries.

[BibT_eX]

[DOI]

Proceedings of the Information Security and Privacy, 7th Australian Conference, 2002

2001

A security assurance framework for component based software development.

[BibT_eX]