Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
- Tianshu Zhang
- Changchang Liu
- et al.
- 2023
- ACL 2023
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13 results for Changchang Liu
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy
- Linkang Du
- Zhikun Zhang
- et al.
- 2021
- CCS 2021
Communication-efficient k-means for Edge-based machine learning
- Hanlin Lu
- Ting He
- et al.
- 2020
- ICDCS 2020
Text Captcha Is Dead? A Large Scale Deployment and Empirical Study
- Chenghui Shi
- Shouling Ji
- et al.
- 2020
- CCS 2020
A Practical Black-Box Attack on Source Code Authorship Identification Classifiers
- Qianjun Liu
- Shouling Ji
- et al.
- 2021
- IEEE TIFS
AsgLDP: Collecting and Generating Decentralized Attributed Graphs with Local Differential Privacy
- Chengkun Wei
- Shouling Ji
- et al.
- 2020
- IEEE TIFS
NeuralFP: Out-of-distribution detection using fingerprints of neural networks
- Wei-Han Lee
- Steve Millman
- et al.
- 2020
- ICPR 2020
Neuraltran: Optimal data transformation for privacy-preserving machine learning by leveraging neural networks
- Changchang Liu
- Wei Han Lee
- et al.
- 2020
- DSN-S 2020
Joint Coreset Construction and Quantization for Distributed Machine Learning
- Hanlin Lu
- Changchang Liu
- et al.
- 2020
- Networking 2020
Exact Incremental and Decremental Learning for LS-SVM
- Wei-Han Lee
- Bongjun Ko
- et al.
- 2019
- ICIP 2019