Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis. - Kun Hu; Yijue Wang; Kewei Chen; Likun Hou; Xiaoqun Zhang (Neurocomputing, 2016)

A New Image Recognition and Classification Method Combining Transfer Learning Algorithm and MobileNet Model for Welding Defects. - Haihong Pan; Zaijun Pang; Yaowei Wang 002; Yijue Wang; Lin Chen 016 (IEEE Access, 2020)

MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. - Yijue Wang; Chenghong Wang; Zigeng Wang; Shanglin Zhou; Hang Liu 001; Jinbo Bi; Caiwen Ding; Sanguthevar Rajasekaran (CoRR, 2020)

SAPAG: A Self-Adaptive Privacy Attack From Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Caiwen Ding; Sanguthevar Rajasekaran (CoRR, 2020)

TAG: Gradient Attack on Transformer-based Language Models. - Jieren Deng; Yijue Wang; Ji Li 006; Chenghong Wang; Chao Shang; Hang Liu 001; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (Findings), 2021)

A Secure and Efficient Federated Learning Framework for NLP. - Chenghong Wang; Jieren Deng; Xianrui Meng; Yijue Wang; Ji Li 006; Sheng Lin 001; Shuo Han 002; Fei Miao; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (1), 2021)

Against Membership Inference Attack: Pruning is All You Need. - Yijue Wang; Chenghong Wang; Zigeng Wang; Shanglin Zhou; Hang Liu 001; Jinbo Bi; Caiwen Ding; Sanguthevar Rajasekaran (IJCAI, 2021)

TAG: Transformer Attack from Gradient. - Jieren Deng; Yijue Wang; Ji Li 006; Chao Shang; Hang Liu 001; Sanguthevar Rajasekaran; Caiwen Ding (CoRR, 2021)

Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. - Shaoyi Huang; Dongkuan Xu; Ian En-Hsu Yen; Yijue Wang; Sung-En Chang; Bingbing Li; Shiyang Chen 004; Mimi Xie; Sanguthevar Rajasekaran; Hang Liu 001; Caiwen Ding (ACL (1), 2022)

Analyzing and Defending against Membership Inference Attacks in Natural Language Processing Classification. - Yijue Wang; Nuo Xu; Shaoyi Huang; Kaleel Mahmood; Dan Guo; Caiwen Ding; Wujie Wen; Sanguthevar Rajasekaran (IEEE Big Data, 2022)

Variance of the Gradient Also Matters: Privacy Leakage from Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Chao Shang; Binghui Wang; Qin Cao; Caiwen Ding; Sanguthevar Rajasekaran (IJCNN, 2022)

Position: TrustLLM: Trustworthiness in Large Language Models. - Yue Huang; Lichao Sun 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Yuan Li; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang; Xiner Li; Hanchi Sun; et al. (ICML, 2024)

TrustLLM: Trustworthiness in Large Language Models. - Lichao Sun 001; Yue Huang 001; Haoran Wang 005; Siyuan Wu 001; Qihui Zhang; Chujie Gao; Yixin Huang; Wenhan Lyu; Yixuan Zhang 001; Xiner Li; Zhengliang Liu; Yixin Liu 002; et al. (CoRR, 2024)