| 2025 | ICLR | Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations. | Abdolmehdi Behroozi, Chaopeng Shen, Daniel Kifer |
| 2025 | NeSy | Bridging Neural and Symbolic Computation: A Learnability Study of RNNs on Counter and Dyck Languages. | Neisarg Dave, Daniel Kifer, C. Lee Giles, Ankur Mali |
| 2025 | SP | Click Without Compromise: Online Advertising Measurement via Per User Differential Privacy. | Yingtai Xiao, Jian Du, Shikun Zhang, Wanrong Zhang, Qian Yang, Danfeng Zhang, Daniel Kifer |
| 2024 | WACV | PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization. | Savinay Nagendra, Daniel Kifer |
| 2023 | AAAI | Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. | Alexander G. Ororbia II, Ankur Mali, Daniel Kifer, C. Lee Giles |
| 2022 | DCC | Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. | Ankur Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles |
| 2021 | AAAI | Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. | Ankur Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles |
| 2021 | CCS | DPGen: Automated Program Synthesis for Differential Privacy. | Yuxin Wang, Zeyu Ding, Yingtai Xiao, Daniel Kifer, Danfeng Zhang |
| 2021 | CVPR | OmniLayout: Room Layout Reconstruction From Indoor Spherical Panoramas. | Shivansh Rao, Vikas Kumar, Daniel Kifer, C. Lee Giles, Ankur Mali |
| 2020 | CCS | CheckDP: An Automated and Integrated Approach for Proving Differential Privacy or Finding Precise Counterexamples. | Yuxin Wang, Zeyu Ding, Daniel Kifer, Danfeng Zhang |
| 2019 | AAAI | Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching. | Xiao Yang, Madian Khabsa, Miaosen Wang, Wei Wang, Ahmed Hassan Awadallah, Daniel Kifer, C. Lee Giles |
| 2019 | BMVC | A Learning-based Text Synthesis Engine for Scene Text Detection. | Xiao Yang, Dafang He, Daniel Kifer, C. Lee Giles |
| 2019 | KDD | ET-Lasso: A New Efficient Tuning of Lasso-type Regularization for High-Dimensional Data. | Songshan Yang, Jiawei Wen, Xiang Zhan, Daniel Kifer |
| 2019 | PLDI | Proving differential privacy with shadow execution. | Yuxin Wang, Zeyu Ding, Guanhong Wang, Daniel Kifer, Danfeng Zhang |
| 2018 | ACCV | Large Scale Scene Text Verification with Guided Attention. | Dafang He, Yeqing Li, Alexander N. Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles |
| 2018 | CCS | Detecting Violations of Differential Privacy. | Zeyu Ding, Yuxin Wang, Guanhong Wang, Danfeng Zhang, Daniel Kifer |
| 2018 | CIKM | Detecting Outliers in Data with Correlated Measures. | Yu-Hsuan Kuo, Zhenhui Li, Daniel Kifer |
| 2018 | KDD | Concentrated Differentially Private Gradient Descent with Adaptive per-Iteration Privacy Budget. | Jaewoo Lee, Daniel Kifer |
| 2017 | AAAI | Predicting Demographics of High-Resolution Geographies with Geotagged Tweets. | Omar Montasser, Daniel Kifer |
| 2017 | AISTATS | A New Class of Private Chi-Square Hypothesis Tests. | Ryan Rogers, Daniel Kifer |
| 2017 | CVPR | Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild. | Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles |
| 2017 | CVPR | Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks. | Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer, C. Lee Giles |
| 2017 | ICDAR | Multi-Scale Multi-Task FCN for Semantic Page Segmentation and Table Detection. | Dafang He, Scott Cohen, Brian L. Price, Daniel Kifer, C. Lee Giles |
| 2017 | ICDAR | Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement. | Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles |
| 2017 | IJCAI | Learning to Read Irregular Text with Attention Mechanisms. | Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer, C. Lee Giles |
| 2017 | POPL | LightDP: towards automating differential privacy proofs. | Danfeng Zhang, Daniel Kifer |
| 2016 | ACCV | Aggregating Local Context for Accurate Scene Text Detection. | Dafang He, Xiao Yang, Wenyi Huang, Zihan Zhou, Daniel Kifer, C. Lee Giles |
| 2016 | KDD | Crime Rate Inference with Big Data. | Hongjian Wang, Daniel Kifer, Corina Graif, Zhenhui Li |
| 2015 | KDD | On Estimating the Swapping Rate for Categorical Data. | Daniel Kifer |
| 2015 | KDD | Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints. | Jaewoo Lee, Yue Wang, Daniel Kifer |
| 2015 | LICS | Privacy and the Price of Data. | Daniel Kifer |
| 2013 | ACSAC | Extraction of statistically significant malware behaviors. | Sirinda Palahan, Domagoj Babic, Swarat Chaudhuri, Daniel Kifer |
| 2013 | SIGMOD | Information preservation in statistical privacy and bayesian estimation of unattributed histograms. | Bing-Rong Lin, Daniel Kifer |
| 2012 | ACSSC | Reasoning about privacy using axioms. | Bing-Rong Lin, Daniel Kifer |
| 2012 | PODS | A rigorous and customizable framework for privacy. | Daniel Kifer, Ashwin Machanavajjhala |
| 2011 | SIGMOD | No free lunch in data privacy. | Daniel Kifer, Ashwin Machanavajjhala |
| 2011 | WSDM | Citation recommendation without author supervision. | Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra, C. Lee Giles |
| 2010 | AAAI | What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model. | Bi Chen, Leilei Zhu, Daniel Kifer, Dongwon Lee |
| 2010 | ICDE | Privacy in data publishing. | Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjhala |
| 2010 | PODS | Towards an axiomatization of statistical privacy and utility. | Daniel Kifer, Bing-Rong Lin |
| 2010 | WWW | Context-aware citation recommendation. | Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C. Lee Giles |
| 2009 | SIGMOD | Attacks on privacy and deFinetti's theorem. | Daniel Kifer |
| 2008 | ICDE | Privacy: Theory meets Practice on the Map. | Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber |
| 2007 | ICDE | Worst-Case Background Knowledge for Privacy-Preserving Data Publishing. | David J. Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke, Joseph Y. Halpern |
| 2006 | ICDE | l-Diversity: Privacy Beyond k-Anonymity. | Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer, Muthuramakrishnan Venkitasubramaniam |
| 2006 | SIGMOD | Injecting utility into anonymized datasets. | Daniel Kifer, Johannes Gehrke |
| 2004 | VLDB | Detecting Change in Data Streams. | Daniel Kifer, Shai Ben-David, Johannes Gehrke |
| 2003 | PODS | How to quickly find a witness. | Daniel Kifer, Johannes Gehrke, Cristian Bucila, Walker M. White |
| 2002 | KDD | DualMiner: a dual-pruning algorithm for itemsets with constraints. | Cristian Bucila, Johannes Gehrke, Daniel Kifer, Walker M. White |