Xiaokui Xiao

Orcid: 0000-0003-0914-4580

Affiliations:
  • Nanyang Technological University, Singapore


According to our database1, Xiaokui Xiao authored at least 227 papers between 2004 and 2024.

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Bibliography

2024
Sharing Information with Differential Privacy: A Database Perspective.
Proc. VLDB Endow., August, 2024

On Data Distribution Leakage in Cross-Silo Federated Learning.
IEEE Trans. Knowl. Data Eng., July, 2024

A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs.
Proc. VLDB Endow., July, 2024

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs.
Proc. VLDB Endow., May, 2024

AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation.
Proc. VLDB Endow., April, 2024

Performance-Based Pricing of Federated Learning via Auction.
Proc. VLDB Endow., February, 2024

Exploring Privacy and Fairness Risks in Sharing Diffusion Models: An Adversarial Perspective.
IEEE Trans. Inf. Forensics Secur., 2024

Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2024

Improving the utility of locally differentially private protocols for longitudinal and multidimensional frequency estimates.
Digit. Commun. Networks, 2024

Calibrating Noise for Group Privacy in Subsampled Mechanisms.
CoRR, 2024

GCON: Differentially Private Graph Convolutional Network via Objective Perturbation.
CoRR, 2024

Proof of Quality: A Costless Paradigm for Trustless Generative AI Model Inference on Blockchains.
CoRR, 2024

NeurDB: An AI-powered Autonomous Data System.
CoRR, 2024

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation.
Proceedings of the ACM on Web Conference 2024, 2024

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach.
Proceedings of the ACM on Web Conference 2024, 2024

Information Diffusion Meets Invitation Mechanism.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Protecting Label Distribution in Cross-Silo Federated Learning.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Predicting Cascading Failures with a Hyperparametric Diffusion Model.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Scalable and Effective Implicit Graph Neural Networks on Large Graphs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Graph Computation with Adaptive Granularity.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs.
Proceedings of the Database Systems for Advanced Applications, 2024

Publishing Common Neighbors Histograms of Social Networks under Edge Differential Privacy.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023
PANE: scalable and effective attributed network embedding.
VLDB J., November, 2023

Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph.
Trans. Mach. Learn. Res., 2023

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency.
Proc. VLDB Endow., 2023

Falcon: A Privacy-Preserving and Interpretable Vertical Federated Learning System.
Proc. VLDB Endow., 2023

PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy.
Proc. ACM Manag. Data, 2023

Effective and Efficient PageRank-based Positioning for Graph Visualization.
Proc. ACM Manag. Data, 2023

SeRaNDiP: Leveraging Inherent Sensor Random Noise for Differential Privacy Preservation in Wearable Community Sensing Applications.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023

Optimal Batched Best Arm Identification.
CoRR, 2023

Passive Inference Attacks on Split Learning via Adversarial Regularization.
CoRR, 2023

Node-wise Diffusion for Scalable Graph Learning.
Proceedings of the ACM Web Conference 2023, 2023

Efficient Approximation Algorithms for Spanning Centrality.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient and Effective Edge-wise Graph Representation Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Capacity Constrained Influence Maximization in Social Networks.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Thompson Sampling with Less Exploration is Fast and Optimal.
Proceedings of the International Conference on Machine Learning, 2023

The Metaverse Data Deluge: What Can We Do About It?
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Multi-Task Processing in Vertex-Centric Graph Systems: Evaluations and Insights.
Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2022

I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks.
IEEE Trans. Knowl. Data Eng., 2022

No PANE, No Gain: Scaling Attributed Network Embedding in a Single Server.
SIGMOD Rec., 2022

Approximating Probabilistic Group Steiner Trees in Graphs.
Proc. VLDB Endow., 2022

Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy.
Proc. VLDB Endow., 2022

Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation?
Neural Comput. Appl., 2022

ERGCN: Data enhancement-based robust graph convolutional network against adversarial attacks.
Inf. Sci., 2022

GlassDB: Practical Verifiable Ledger Database Through Transparency.
CoRR, 2022

Sense The Physical, Walkthrough The Virtual, Manage The Metaverse: A Data-centric Perspective.
CoRR, 2022

Scalable and Effective Bipartite Network Embedding.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

LSCALE: Latent Space Clustering-Based Active Learning for Node Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MGNNI: Multiscale Graph Neural Networks with Implicit Layers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

VC-Tune: Tuning and Exploring Distributed Vertex-Centric Graph Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Measuring Friendship Closeness: A Perspective of Social Identity Theory.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Feature Inference Attack on Shapley Values.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

DPIS: An Enhanced Mechanism for Differentially Private SGD with Importance Sampling.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

A Fusion-Denoising Attack on InstaHide with Data Augmentation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Signed Clique Search in Signed Networks: Concepts and Algorithms.
IEEE Trans. Knowl. Data Eng., 2021

Privacy-Preserving Stochastic Gradual Learning.
IEEE Trans. Knowl. Data Eng., 2021

Incremental Community Detection on Large Complex Attributed Network.
ACM Trans. Knowl. Discov. Data, 2021

Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights.
Proc. VLDB Endow., 2021

Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.
Proc. VLDB Endow., 2021

Data Synthesis via Differentially Private Markov Random Field.
Proc. VLDB Endow., 2021

CGM: An Enhanced Mechanism for Streaming Data Collectionwith Local Differential Privacy.
Proc. VLDB Endow., 2021

Synthetic Data Generation with Differential Privacy via Bayesian Networks.
J. Priv. Confidentiality, 2021

PPRviz: Effective and Efficient Graph Visualization based on Personalized PageRank.
CoRR, 2021

Effective and Scalable Clustering on Massive Attributed Graphs.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Fast Approximate All Pairwise CoSimRanks via Random Projection.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

EIGNN: Efficient Infinite-Depth Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Streaming Algorithms for Multi-Armed Bandits.
Proceedings of the 38th International Conference on Machine Learning, 2021

MOTS: Minimax Optimal Thompson Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

Feature Inference Attack on Model Predictions in Vertical Federated Learning.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Exploiting Explanations for Model Inversion Attacks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Double Explore-then-Commit: Asymptotic Optimality and Beyond.
Proceedings of the Conference on Learning Theory, 2021

Random Sampling Plus Fake Data: Multidimensional Frequency Estimates With Local Differential Privacy.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
FERRARI: an efficient framework for visual exploratory subgraph search in graph databases.
VLDB J., 2020

Finding skyline communities in multi-valued networks.
VLDB J., 2020

Efficient approximation algorithms for adaptive influence maximization.
VLDB J., 2020

BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy.
IEEE Trans. Knowl. Data Eng., 2020

ROAM: A Fundamental Routing Query on Road Networks with Efficiency.
IEEE Trans. Knowl. Data Eng., 2020

The Disruptions of 5G on Data-Driven Technologies and Applications.
IEEE Trans. Knowl. Data Eng., 2020

Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks.
IEEE Trans. Knowl. Data Eng., 2020

GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine.
IEEE Trans. Big Data, 2020

Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank.
Proc. VLDB Endow., 2020

Scaling Attributed Network Embedding to Massive Graphs.
Proc. VLDB Endow., 2020

Privacy Preserving Vertical Federated Learning for Tree-based Models.
Proc. VLDB Endow., 2020

Hunting multiple bumps in graphs.
Proc. VLDB Endow., 2020

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs.
Proc. VLDB Endow., 2020

Active Learning for Node Classification: The Additional Learning Ability from Unlabelled Nodes.
CoRR, 2020

Forecasting the number of firefighter interventions per region with local-differential-privacy-based data.
Comput. Secur., 2020

Analysis of Indexing Structures for Immutable Data.
Proceedings of the 2020 International Conference on Management of Data, 2020

LATTE: Visual Construction of Smart Contracts.
Proceedings of the 2020 International Conference on Management of Data, 2020

GPU-Accelerated Subgraph Enumeration on Partitioned Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

Longitudinal Collection and Analysis of Mobile Phone Data with Local Differential Privacy.
Proceedings of the Privacy and Identity Management: 15th IFIP WG 9.2, 2020

Mobility modeling through mobile data: generating an optimized and open dataset respecting privacy.
Proceedings of the 16th International Wireless Communications and Mobile Computing Conference, 2020

Towards Locally Differentially Private Generic Graph Metric Estimation.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Efficient Approximation Algorithms for Adaptive Target Profit Maximization.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries.
ACM Trans. Database Syst., 2019

Organizing an Influential Social Event Under a Budget Constraint.
IEEE Trans. Knowl. Data Eng., 2019

Realtime Top-k Personalized PageRank over Large Graphs on GPUs.
Proc. VLDB Endow., 2019

Efficient and Effective Algorithms for Clustering Uncertain Graphs.
Proc. VLDB Endow., 2019

Millionaire: a hint-guided approach for crowdsourcing.
Mach. Learn., 2019

Homogeneous Network Embedding for Massive Graphs via Personalized PageRank.
CoRR, 2019

Efficient Estimation of Heat Kernel PageRank for Local Clustering.
Proceedings of the 2019 International Conference on Management of Data, 2019

PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs.
Proceedings of the 2019 International Conference on Management of Data, 2019

Efficient Approximation Algorithms for Adaptive Seed Minimization.
Proceedings of the 2019 International Conference on Management of Data, 2019

Efficient Pure Exploration in Adaptive Round model.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Community Detection on Large Complex Attribute Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Collecting and Analyzing Multidimensional Data with Local Differential Privacy.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

An Indexing Framework for Efficient Visual Exploratory Subgraph Search in Graph Databases.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Efficient Batch One-Hop Personalized PageRanks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Path Travel Time Estimation using Attribute-related Hybrid Trajectories Network.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Analyzing Subgraph Statistics from Extended Local Views with Decentralized Differential Privacy.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018
Optimal algorithms for selecting top-k combinations of attributes: theory and applications.
VLDB J., 2018

Persisting RB-Tree into NVM in a Consistency Perspective.
ACM Trans. Storage, 2018

Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2018

DANTE: Data and Information Management Research at Nanyang Technological University.
SIGMOD Rec., 2018

Efficient Algorithms for Adaptive Influence Maximization.
Proc. VLDB Endow., 2018

PTRider: A Price-and-Time-Aware Ridesharing System.
Proc. VLDB Endow., 2018

Influence Maximization in Online Social Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs.
Proceedings of the 2018 International Conference on Management of Data, 2018

Online Processing Algorithms for Influence Maximization.
Proceedings of the 2018 International Conference on Management of Data, 2018

Skyline Community Search in Multi-valued Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018

A Scalable Approach to Inferring Travel Time in Singapore's Metro Network using Smart Card Data.
Proceedings of the IEEE International Smart Cities Conference, 2018

PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Efficient Signed Clique Search in Signed Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Budget-Constrained Organization of Influential Social Events.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Price-and-Time-Aware Dynamic Ridesharing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Maximizing Social Influence for the Awareness Threshold Model.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Optimal Location Queries on Road Networks.
Proceedings of the Encyclopedia of GIS., 2017

PrivBayes: Private Data Release via Bayesian Networks.
ACM Trans. Database Syst., 2017

Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng., 2017

ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.
Proc. VLDB Endow., 2017

Revisiting the Stop-and-Stare Algorithms for Influence Maximization.
Proc. VLDB Endow., 2017

Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering.
Knowl. Inf. Syst., 2017

Cost-Effective Seed Selection in Online Social Networks.
CoRR, 2017

Refutations on "Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study".
CoRR, 2017

FORA: Simple and Effective Approximate Single-Source Personalized PageRank.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine.
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017

PrivSuper: A Superset-First Approach to Frequent Itemset Mining under Differential Privacy.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

GraphH: High Performance Big Graph Analytics in Small Clusters.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Generating Synthetic Decentralized Social Graphs with Local Differential Privacy.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
HubPPR: Effective Indexing for Approximate Personalized PageRank.
Proc. VLDB Endow., 2016

Effective Indexing for Approximate Constrained Shortest Path Queries on Large Road Networks.
Proc. VLDB Endow., 2016

Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy.
CoRR, 2016

Mobile App Tagging.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.
Proceedings of the 2016 International Conference on Management of Data, 2016

SLING: A Near-Optimal Index Structure for SimRank.
Proceedings of the 2016 International Conference on Management of Data, 2016

Keyword-aware continuous kNN query on road networks.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Practical private shortest path computation based on Oblivious Storage.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy.
ACM Trans. Database Syst., 2015

Boosting the Quality of Approximate String Matching by Synonyms.
ACM Trans. Database Syst., 2015

Towards Maximum Independent Sets on Massive Graphs.
Proc. VLDB Endow., 2015

Deterministic identification of specific individuals from GWAS results.
Bioinform., 2015

SimApp: A Framework for Detecting Similar Mobile Applications by Online Kernel Learning.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Private Release of Graph Statistics using Ladder Functions.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Crowd-Based Deduplication: An Adaptive Approach.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Efficient Route Planning on Public Transportation Networks: A Labelling Approach.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Influence Maximization in Near-Linear Time: A Martingale Approach.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
Dynamic monitoring of optimal locations in road network databases.
VLDB J., 2014

Differentially Private Event Sequences over Infinite Streams.
Proc. VLDB Endow., 2014

Software process evaluation: a machine learning framework with application to defect management process.
Empir. Softw. Eng., 2014

Reachability queries on large dynamic graphs: a total order approach.
Proceedings of the International Conference on Management of Data, 2014

Influence maximization: near-optimal time complexity meets practical efficiency.
Proceedings of the International Conference on Management of Data, 2014

AR-miner: mining informative reviews for developers from mobile app marketplace.
Proceedings of the 36th International Conference on Software Engineering, 2014

Large-scale frequent subgraph mining in MapReduce.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Differentially Private Data Release: Improving Utility with Wavelets and Bayesian Networks.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
Differentially private histogram publication.
VLDB J., 2013

Shortest path and distance queries on road networks: towards bridging theory and practice.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

PrivGene: differentially private model fitting using genetic algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Minimal MapReduce algorithms.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Efficient single-source shortest path and distance queries on large graphs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

LSII: An indexing structure for exact real-time search on microblogs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

KORS: Keyword-aware Optimal Route Search System.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Secure nearest neighbor revisited.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012
Publishing Search Logs - A Comparative Study of Privacy Guarantees.
IEEE Trans. Knowl. Data Eng., 2012

Functional Mechanism: Regression Analysis under Differential Privacy.
Proc. VLDB Endow., 2012

Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy.
Proc. VLDB Endow., 2012

Shortest Path and Distance Queries on Road Networks: An Experimental Evaluation.
Proc. VLDB Endow., 2012

Keyword-aware Optimal Route Search.
Proc. VLDB Endow., 2012

Differential privacy in data publication and analysis.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Differentially Private Histogram Publication.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Obfuscating the Topical Intention in Enterprise Text Search.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

An efficient algorithm for mapping vehicle trajectories onto road networks.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

Efficient algorithms for generalized subgraph query processing.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

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

Differential Privacy via Wavelet Transforms.
IEEE Trans. Knowl. Data Eng., 2011

iReduct: differential privacy with reduced relative errors.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

GBLENDER: visual subgraph query formulation meets query processing.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Software process evaluation: A machine learning approach.
Proceedings of the 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011

Optimal location queries in road network databases.
Proceedings of the 27th International Conference on Data Engineering, 2011

2010
Transparent anonymization: Thwarting adversaries who know the algorithm.
ACM Trans. Database Syst., 2010

Superseding Nearest Neighbor Search on Uncertain Spatial Databases.
IEEE Trans. Knowl. Data Eng., 2010

Embellishing Text Search Queries To Protect User Privacy.
Proc. VLDB Endow., 2010

GBLENDER: towards blending visual query formulation and query processing in graph databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Correlation hiding by independence masking.
Proceedings of the 26th International Conference on Data Engineering, 2010

The hardness and approximation algorithms for l-diversity.
Proceedings of the EDBT 2010, 2010

2009
ANGEL: Enhancing the Utility of Generalization for Privacy Preserving Publication.
IEEE Trans. Knowl. Data Eng., 2009

Optimal Random Perturbation at Multiple Privacy Levels.
Proc. VLDB Endow., 2009

Privacy in Search Logs
CoRR, 2009

Interactive anonymization of sensitive data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

Privacy Preserving Publishing on Multiple Quasi-identifiers.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Personalized Privacy Preservation.
Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

Efficient temporal counting with bounded error.
VLDB J., 2008

Primal or dual: which promises faster spatiotemporal search?
VLDB J., 2008

Output perturbation with query relaxation.
Proc. VLDB Endow., 2008

Dynamic anonymization: accurate statistical analysis with privacy preservation.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Preservation of proximity privacy in publishing numerical sensitive data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

On Anti-Corruption Privacy Preserving Publication.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
Multidimensional reverse <i>k</i> NN search.
VLDB J., 2007

Range search on multidimensional uncertain data.
ACM Trans. Database Syst., 2007

Efficient Skyline and Top-k Retrieval in Subspaces.
IEEE Trans. Knowl. Data Eng., 2007

On Efficient Spatial Matching.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

M-invariance: towards privacy preserving re-publication of dynamic datasets.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2006
Anatomy: Simple and Effective Privacy Preservation.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Personalized privacy preservation.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Mining distance-based outliers from large databases in any metric space.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

SUBSKY: Efficient Computation of Skylines in Subspaces.
Proceedings of the 22nd International Conference on Data Engineering, 2006

2005
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions.
Proceedings of the 31st International Conference on Very Large Data Bases, Trondheim, Norway, August 30, 2005

2004
Detail-Preserving Approach for Impulse Noise Removal from Images.
Proceedings of the 2004 International Conference on Computer and Information Technology (CIT 2004), 2004


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