Yijue Wang

Orcid: 0000-0002-9977-6065

According to our database1, Yijue Wang authored at least 13 papers between 2016 and 2024.

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Bibliography

2024
TrustLLM: Trustworthiness in Large Language Models.
CoRR, 2024


2022
Variance of the Gradient Also Matters: Privacy Leakage from Gradients.
Proceedings of the International Joint Conference on Neural Networks, 2022

Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification.
Proceedings of the IEEE International Conference on Big Data, 2022

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
TAG: Transformer Attack from Gradient.
CoRR, 2021

Against Membership Inference Attack: Pruning is All You Need.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Secure and Efficient Federated Learning Framework for NLP.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TAG: Gradient Attack on Transformer-based Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
SAPAG: A Self-Adaptive Privacy Attack From Gradients.
CoRR, 2020

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks.
CoRR, 2020

A New Image Recognition and Classification Method Combining Transfer Learning Algorithm and MobileNet Model for Welding Defects.
IEEE Access, 2020

2016
Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis.
Neurocomputing, 2016


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