Daniel Kifer

Affiliations:
  • Pennsylvania State University, University Park, USA


According to our database1, Daniel Kifer authored at least 109 papers between 2003 and 2022.

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Bibliography

2022
The 2020 Census Disclosure Avoidance System TopDown Algorithm.
CoRR, 2022

Geographic Spines in the 2020 Census Disclosure Avoidance System TopDown Algorithm.
CoRR, 2022

Exact Privacy Analysis of the Gaussian Sparse Histogram Mechanism.
CoRR, 2022

Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder.
CoRR, 2022

2021
Optimizing Fitness-For-Use of Differentially Private Linear Queries.
Proc. VLDB Endow., 2021

Scaling up Differentially Private Deep Learning with Fast Per-Example Gradient Clipping.
Proc. Priv. Enhancing Technol., 2021

The Permute-and-Flip Mechanism is Identical to Report-Noisy-Max with Exponential Noise.
CoRR, 2021

The data synergy effects of time-series deep learning models in hydrology.
CoRR, 2021

An Uncertainty Principle is a Price of Privacy-Preserving Microdata.
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.
Proceedings of the 15th International Conference on Grammatical Inference, 2021

Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack.
Proceedings of the 15th International Conference on Grammatical Inference, 2021

An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems.
Proceedings of the 31st Data Compression Conference, 2021

OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DPGen: Automated Program Synthesis for Differential Privacy.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.
IEEE Trans. Neural Networks Learn. Syst., 2020

The Neural Coding Framework for Learning Generative Models.
CoRR, 2020

Free Gap Estimates from the Exponential Mechanism, Sparse Vector, Noisy Max and Related Algorithms.
CoRR, 2020

Differentially Private Deep Learning with Direct Feedback Alignment.
CoRR, 2020

Guidelines for Implementing and Auditing Differentially Private Systems.
CoRR, 2020

Reducing the Computational Burden of Deep Learning with Recursive Local Representation Alignment.
CoRR, 2020

Follow The Curve: Arbitrarily Oriented Scene Text Detection Using Key Points Spotting And Curve Prediction.
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.
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.
ACM Trans. Intell. Syst. Technol., 2019

Non-Stationary Model for Crime Rate Inference Using Modern Urban Data.
IEEE Trans. Big Data, 2019

Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms.
Proc. VLDB Endow., 2019

Differentially Private Confidence Intervals for Empirical Risk Minimization.
J. Priv. Confidentiality, 2019

Evaluating aleatoric and epistemic uncertainties of time series deep learning models for soil moisture predictions.
CoRR, 2019

Lifelong Neural Predictive Coding: Sparsity Yields Less Forgetting when Learning Cumulatively.
CoRR, 2019

TextContourNet: A Flexible and Effective Framework for Improving Scene Text Detection Architecture With a Multi-Task Cascade.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Proving differential privacy with shadow execution.
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.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Neural Temporal Model for Human Motion Prediction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

A Learning-based Text Synthesis Engine for Scene Text Detection.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

Renyi Differentially Private ERM for Smooth Objectives.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Change Detection on Streams.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Differentially Private Hierarchical Count-of-Counts Histograms.
Proc. VLDB Endow., 2018

Statistical Approximating Distributions Under Differential Privacy.
J. Priv. Confidentiality, 2018

Reminiscenses of Steve Fienberg.
J. Priv. Confidentiality, 2018

Online Learning of Recurrent Neural Architectures by Locally Aligning Distributed Representations.
CoRR, 2018

ET-Lasso: Efficient Tuning of Lasso for High-Dimensional Data.
CoRR, 2018

Toward Detecting Violations of Differential Privacy.
CoRR, 2018

Guided Attention for Large Scale Scene Text Verification.
CoRR, 2018

Differentially Private Hierarchical Group Size Estimation.
CoRR, 2018

Conducting Credit Assignment by Aligning Local Representations.
CoRR, 2018

Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Detecting Outliers in Data with Correlated Measures.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Detecting Violations of Differential Privacy.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

Large Scale Scene Text Verification with Guided Attention.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Unifying Adversarial Training Algorithms with Data Gradient Regularization.
Neural Comput., 2017

Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Network.
CoRR, 2017

LightDP: towards automating differential privacy proofs.
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.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017

Learning to Read Irregular Text with Attention Mechanisms.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement.
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.
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.
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.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A New Class of Private Chi-Square Hypothesis Tests.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Predicting Demographics of High-Resolution Geographies with Geotagged Tweets.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
AutoPriv: Automating Differential Privacy Proofs.
CoRR, 2016

Smart Library: Identifying Books in a Library using Richly Supervised Deep Scene Text Reading.
CoRR, 2016

Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization.
CoRR, 2016

Postprocessing for Iterative Differentially Private Algorithms.
CoRR, 2016

A New Class of Private Chi-Square Tests.
CoRR, 2016

Detecting Arbitrary Oriented Text in the Wild with a Visual Attention Model.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Crime Rate Inference with Big Data.
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.
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.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Information Measures in Statistical Privacy and Data Processing Applications.
ACM Trans. Knowl. Discov. Data, 2015

Differentially Private Hypothesis Testing, Revisited.
CoRR, 2015

Private Posterior distributions from Variational approximations.
CoRR, 2015

Designing statistical privacy for your data.
Commun. ACM, 2015

Privacy and the Price of Data.
Proceedings of the 30th Annual ACM/IEEE Symposium on Logic in Computer Science, 2015

Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On Estimating the Swapping Rate for Categorical Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Pufferfish: A framework for mathematical privacy definitions.
ACM Trans. Database Syst., 2014

On Arbitrage-free Pricing for General Data Queries.
Proc. VLDB Endow., 2014

Towards a Systematic Analysis of Privacy Definitions.
J. Priv. Confidentiality, 2014

2013
Introduction to Special Section.
J. Priv. Confidentiality, 2013

Information preservation in statistical privacy and bayesian estimation of unattributed histograms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Geometry of privacy and utility.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Extraction of statistically significant malware behaviors.
Proceedings of the Annual Computer Security Applications Conference, 2013

2012
An Axiomatic View of Statistical Privacy and Utility.
J. Priv. Confidentiality, 2012

Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression.
Proceedings of the COLT 2012, 2012

A Framework for Extracting Semantic Guarantees from Privacy
CoRR, 2012

A rigorous and customizable framework for privacy.
Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2012

Reasoning about privacy using axioms.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Citation recommendation without author supervision.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

No free lunch in data privacy.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

2010
Context-aware citation recommendation.
Proceedings of the 19th International Conference on World Wide Web, 2010

Towards an axiomatization of statistical privacy and utility.
Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2010

Privacy in data publishing.
Proceedings of the 26th International Conference on Data Engineering, 2010

What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Change Detection on Streams.
Proceedings of the Encyclopedia of Database Systems, 2009

Privacy-Preserving Data Publishing.
Found. Trends Databases, 2009

Attacks on privacy and deFinetti's theorem.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

2008
Scheduling shared scans of large data files.
Proc. VLDB Endow., 2008

Privacy: Theory meets Practice on the Map.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
<i>L</i>-diversity: Privacy beyond <i>k</i>-anonymity.
ACM Trans. Knowl. Discov. Data, 2007

Worst-Case Background Knowledge for Privacy-Preserving Data Publishing.
Proceedings of the 23rd International Conference on Data Engineering, 2007

2006
Graphs and Privacy.
PhD thesis, 2006

Injecting utility into anonymized datasets.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

l-Diversity: Privacy Beyond k-Anonymity.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2004
A Vision for PetaByte Data Management and Analyis Services for the Arecibo Telescope.
IEEE Data Eng. Bull., 2004

Detecting Change in Data Streams.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

How to Quickly Find a Witness.
Proceedings of the Constraint-Based Mining and Inductive Databases, 2004

2003
DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints.
Data Min. Knowl. Discov., 2003


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