Changchang Liu

Orcid: 0009-0003-6414-4572

According to our database1, Changchang Liu authored at least 48 papers between 2012 and 2024.

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Bibliography

2024
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis.
CoRR, 2024

Machine-Assisted Error Discovery in Conversational AI Systems.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023
A Hybrid Structure-Based Machine Learning Approach for Predicting Kinase Inhibition by Small Molecules.
J. Chem. Inf. Model., September, 2023

Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Communication-Efficient $k$k-Means for Edge-Based Machine Learning.
IEEE Trans. Parallel Distributed Syst., 2022

Focus : Function clone identification on cross-platform.
Int. J. Intell. Syst., 2022

Joint Coreset Construction and Quantization for Distributed Machine Learning.
CoRR, 2022

2021
A Practical Black-Box Attack on Source Code Authorship Identification Classifiers.
IEEE Trans. Inf. Forensics Secur., 2021

Fast-RCM: Fast Tree-Based Unsupervised Rare-Class Mining.
IEEE Trans. Cybern., 2021

The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases.
Nucleic Acids Res., 2021

AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
AsgLDP: Collecting and Generating Decentralized Attributed Graphs With Local Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2020

Sharing Models or Coresets: A Study based on Membership Inference Attack.
CoRR, 2020

Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients.
CoRR, 2020

Joint Coreset Construction and Quantization for Distributed Machine Learning.
Proceedings of the 2020 IFIP Networking Conference, 2020

Overcoming Noisy and Irrelevant Data in Federated Learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

NeuralFP: Out-of-distribution Detection using Fingerprints of Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Communication-efficient k-Means for Edge-based Machine Learning.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Neuraltran: Optimal Data Transformation for Privacy-Preserving Machine Learning by Leveraging Neural Networks.
Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

Text Captcha Is Dead? A Large Scale Deployment and Empirical Study.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

FIMIL : A high-throughput deep learning model for abnormality detection with weak annotation in microscopy images.
Proceedings of the Australasian Computer Science Week, 2020

2019
Rethinking the Science of Statistical Privacy
PhD thesis, 2019

Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing.
Proc. Priv. Enhancing Technol., 2019

RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release.
Proc. Priv. Enhancing Technol., 2019

Exact Incremental and Decremental Learning for LS-SVM.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Selective Detection and Segmentation of Cervical Cells.
Proceedings of the 11th International Conference on Bioinformatics and Biomedical Technology, 2019

2018
An empirical evaluation of high utility itemset mining algorithms.
Expert Syst. Appl., 2018

Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption.
Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

2017
An up-to-date comparison of state-of-the-art classification algorithms.
Expert Syst. Appl., 2017

Coupling Dimensionality Reduction with Generative Model for Non-Interactive Private Data Release.
CoRR, 2017

DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications.
CoRR, 2017

Blind De-anonymization Attacks using Social Networks.
Proceedings of the 2017 on Workshop on Privacy in the Electronic Society, Dallas, TX, USA, October 30, 2017

How to Quantify Graph De-anonymization Risks.
Proceedings of the Information Systems Security and Privacy, 2017

Quantification of De-anonymization Risks in Social Networks.
Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

2016
A parameter-free label propagation algorithm for person identification in stereo videos.
Neurocomputing, 2016

Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples.
Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

LinkMirage: Enabling Privacy-preserving Analytics on Social Relationships.
Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

2015
LinkMirage: How to Anonymize Links in Dynamic Social Systems.
CoRR, 2015

Exploiting Temporal Dynamics in Sybil Defenses.
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

PARS: A Uniform and Open-source Password Analysis and Research System.
Proceedings of the 31st Annual Computer Security Applications Conference, 2015

2013
Sparse Frequency Diverse MIMO Radar Imaging for Off-Grid Target Based on Adaptive Iterative MAP.
Remote. Sens., 2013

Sparse Self-Calibration Imaging via Iterative MAP in FM-Based Distributed Passive Radar.
IEEE Geosci. Remote. Sens. Lett., 2013

Analyzing the FD-MIMO sparse imaging under carrier frequency offsets from the perspective of point spread function.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Sparse imaging for passive radar system based on digital video broadcasting satellites.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

Sparsity-driven high resolution FDLFM-MIMO radar imaging.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

Sparse self-calibration by map method for MIMO radar imaging.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A correction and generalization to the sparse learning via iterative minimization method for target off the grid in MIMO radar imaging.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Sparse frequency diverse MIMO radar imaging.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012


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