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TAG: Gradient Attack on Transformer-based Language Models., , , , , , , and . EMNLP (Findings), page 3600-3610. Association for Computational Linguistics, (2021)A Secure and Efficient Federated Learning Framework for NLP., , , , , , , , , and . EMNLP (1), page 7676-7682. Association for Computational Linguistics, (2021)TrustLLM: Trustworthiness in Large Language Models., , , , , , , , , and 56 other author(s). CoRR, (2024)A Secure and Efficient Federated Learning Framework for NLP., , , , , , , , , and . CoRR, (2022)MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks., , , , , , , and . CoRR, (2020)Variance of the Gradient Also Matters: Privacy Leakage from Gradients., , , , , , , , , and 1 other author(s). IJCNN, page 1-8. IEEE, (2022)A New Image Recognition and Classification Method Combining Transfer Learning Algorithm and MobileNet Model for Welding Defects., , , , and . IEEE Access, (2020)Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis., , , , and . Neurocomputing, (2016)SAPAG: A Self-Adaptive Privacy Attack From Gradients., , , , , , , and . CoRR, (2020)Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm., , , , , , , , , and 1 other author(s). ACL (1), page 190-200. Association for Computational Linguistics, (2022)