Daniel Kifer

CoRR, 2023

An In-Depth Examination of Requirements for Disclosure Risk Assessment.

[BibT_eX]

[DOI]

CoRR, 2023

On the Computational Complexity and Formal Hierarchy of Second Order Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

On the Tensor Representation and Algebraic Homomorphism of the Neural State Turing Machine.

[BibT_eX]

[DOI]

CoRR, 2023

A Floating-Point Secure Implementation of the Report Noisy Max with Gap Mechanism.

[BibT_eX]

[DOI]

CoRR, 2023

Differentiable modeling to unify machine learning and physical models and advance Geosciences.

[BibT_eX]

[DOI]

CoRR, 2023

An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Backpropagation-Free Deep Learning with Recursive Local Representation Alignment.

[BibT_eX]

[DOI]

Srikanth Banagere Manjunatha

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Constructing a Large-Scale Landslide Database Across Heterogeneous Environments Using Task-Specific Model Updates.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

ThreshNet: Segmentation Refinement Inspired by Region-Specific Thresholding.

[BibT_eX]

[DOI]

Savinay Nagendra

Chaopeng Shen

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

Geographic Spines in the 2020 Census Disclosure Avoidance System TopDown Algorithm.

[BibT_eX]

[DOI]

CoRR, 2022

Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2022

2021

Optimizing Fitness-For-Use of Differentially Private Linear Queries.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2021

Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping.

[BibT_eX]

[DOI]

Proc. Priv. Enhancing Technol., 2021

The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise.

[BibT_eX]

[DOI]

Zeyu Ding

Sayed M. Saghaian N. E.

CoRR, 2021

The data synergy effects of time-series deep learning models in hydrology.

[BibT_eX]

[DOI]

CoRR, 2021

An Uncertainty Principle is a Price of Privacy-Preserving Microdata.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Investigating Backpropagation Alternatives when Learning to Dynamically Count with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Grammatical Inference, 2021

Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Grammatical Inference, 2021

An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st Data Compression Conference, 2021

OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DPGen: Automated Program Synthesis for Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

The Neural Coding Framework for Learning Generative Models.

[BibT_eX]

[DOI]

Alexander Ororbia

CoRR, 2020

Differentially Private Deep Learning with Direct Feedback Alignment.

[BibT_eX]

[DOI]

CoRR, 2020

Guidelines for Implementing and Auditing Differentially Private Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment.

[BibT_eX]

[DOI]

CoRR, 2020

Follow The Curve: Arbitrarily Oriented Scene Text Detection Using Key Points Spotting And Curve Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

A Simple Baseline for Travel Time Estimation using Large-scale Trip Data.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2019

Non-Stationary Model for Crime Rate Inference Using Modern Urban Data.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2019

Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2019

Differentially Private Confidence Intervals for Empirical Risk Minimization.

[BibT_eX]

[DOI]

Yue Wang

J. Priv. Confidentiality, 2019

Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions.

[BibT_eX]

[DOI]

Kuai Fang

Chaopeng Shen

CoRR, 2019

Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively.

[BibT_eX]

[DOI]

CoRR, 2019

TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-Task Cascade.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Proving differential privacy with shadow execution.

[BibT_eX]

[DOI]

Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, 2019

ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Neural Temporal Model for Human Motion Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Learning-based Text Synthesis Engine for Scene Text Detection.

[BibT_eX]

[DOI]

Proceedings of the 30th British Machine Vision Conference 2019, 2019

Renyi Differentially Private ERM for Smooth Objectives.

[BibT_eX]

[DOI]

Chen Chen

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching.

[BibT_eX]

[DOI]

Ahmed Hassan Awadallah

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Change Detection on Streams.

[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

Statistical Approximating Distributions Under Differential Privacy.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2018

Reminiscenses of Steve Fienberg.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2018

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations.

[BibT_eX]

[DOI]

CoRR, 2018

ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data.

[BibT_eX]

[DOI]

CoRR, 2018

Toward Detecting Violations of Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2018

Guided Attention for Large Scale Scene Text Verification.

[BibT_eX]

[DOI]

CoRR, 2018

Differentially Private Hierarchical Group Size Estimation.

[BibT_eX]

[DOI]

CoRR, 2018

Conducting Credit Assignment by Aligning Local Representations.

[BibT_eX]

[DOI]

CoRR, 2018

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Detecting Outliers in Data with Correlated Measures.

[BibT_eX]

[DOI]

Yu-Hsuan Kuo

Zhenhui Li

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Detecting Violations of Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

Large Scale Scene Text Verification with Guided Attention.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Unifying Adversarial Training Algorithms with Data Gradient Regularization.

[BibT_eX]

[DOI]

Neural Comput., 2017

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network.

[BibT_eX]

[DOI]

CoRR, 2017

LightDP: towards automating differential privacy proofs.

[BibT_eX]

[DOI]

Danfeng Zhang

Proceedings of the 44th ACM SIGPLAN Symposium on Principles of Programming Languages, 2017

Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Learning to Read Irregular Text with Attention Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement.

[BibT_eX]

[DOI]

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Multi-Scale Multi-Task FCN for Semantic Page Segmentation and Table Detection.

[BibT_eX]

[DOI]

Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild.

[BibT_eX]

[DOI]

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

A New Class of Private Chi-Square Hypothesis Tests.

[BibT_eX]

[DOI]

Ryan Rogers

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Predicting Demographics of High-Resolution Geographies with Geotagged Tweets.

[BibT_eX]

[DOI]

Omar Montasser

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

AutoPriv: Automating Differential Privacy Proofs.

[BibT_eX]

[DOI]

Danfeng Zhang

CoRR, 2016

Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading.

[BibT_eX]

[DOI]

CoRR, 2016

Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization.

[BibT_eX]

[DOI]

CoRR, 2016

Postprocessing for Iterative Differentially Private Algorithms.

[BibT_eX]

[DOI]

CoRR, 2016

A New Class of Private Chi-Square Tests.

[BibT_eX]

[DOI]

Ryan Rogers

CoRR, 2016

Detecting Arbitrary Oriented Text in the Wild with a Visual Attention Model.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Crime Rate Inference with Big Data.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

A simple baseline for travel time estimation using large-scale trip data.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Aggregating Local Context for Accurate Scene Text Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Information Measures in Statistical Privacy and Data Processing Applications.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2015

Differentially Private Hypothesis Testing, Revisited.

[BibT_eX]

[DOI]

Yue Wang

CoRR, 2015

Private Posterior distributions from Variational approximations.

[BibT_eX]

[DOI]

Vishesh Karwa

Aleksandra B. Slavkovic

CoRR, 2015

Designing statistical privacy for your data.

[BibT_eX]

[DOI]

Commun. ACM, 2015

Privacy and the Price of Data.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual ACM/IEEE Symposium on Logic in Computer Science, 2015

Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints.

[BibT_eX]

[DOI]

Yue Wang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On Estimating the Swapping Rate for Categorical Data.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Pufferfish: A framework for mathematical privacy definitions.

[BibT_eX]

[DOI]

ACM Trans. Database Syst., 2014

On Arbitrage-free Pricing for General Data Queries.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2014

Towards a Systematic Analysis of Privacy Definitions.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2014

2013

Introduction to Special Section.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2013

Information preservation in statistical privacy and bayesian estimation of unattributed histograms.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Geometry of privacy and utility.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Extraction of statistically significant malware behaviors.

[BibT_eX]

[DOI]

Proceedings of the Annual Computer Security Applications Conference, 2013

2012

An Axiomatic View of Statistical Privacy and Utility.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2012

Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression.

[BibT_eX]

[DOI]

Adam D. Smith

Abhradeep Thakurta

Proceedings of the COLT 2012, 2012

A Framework for Extracting Semantic Guarantees from Privacy

[BibT_eX]

[DOI]

CoRR, 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

Reasoning about privacy using axioms.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Citation recommendation without author supervision.

[BibT_eX]

[DOI]

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

2010

Context-aware citation recommendation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on World Wide Web, 2010

Towards an axiomatization of statistical privacy and utility.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2010

Privacy in data publishing.

[BibT_eX]

[DOI]

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

What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Change Detection on Streams.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Database Systems, 2009

Privacy-Preserving Data Publishing.

[BibT_eX]

[DOI]

Bee-Chung Chen

Kristen LeFevre

Found. Trends Databases, 2009

Attacks on privacy and deFinetti's theorem.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

2008

Scheduling shared scans of large data files.

[BibT_eX]

[DOI]

Parag Agrawal

Christopher Olston

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

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

Graphs and Privacy.

[BibT_eX]

PhD thesis, 2006

Injecting utility into anonymized datasets.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

l-Diversity: Privacy Beyond k-Anonymity.

[BibT_eX]

[DOI]

Muthuramakrishnan Venkitasubramaniam

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

2004

A Vision for PetaByte Data Management and Analyis Services for the Arecibo Telescope.

[BibT_eX]

[DOI]

Jayavel Shanmugasundaram

IEEE Data Eng. Bull., 2004

Detecting Change in Data Streams.

[BibT_eX]

[DOI]

Shai Ben-David