Tianjie Ju

According to our database, Tianjie Ju authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Transferring Backdoors between Large Language Models by Knowledge Distillation.

Pengzhou Cheng, Zongru Wu, Tianjie Ju, Wei Du, Zhuosheng Zhang, Gongshen Liu

CoRR, 2024

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities.

Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, Gongshen Liu

CoRR, 2024

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Pengzhou Cheng, Yidong Ding, Tianjie Ju, Zongru Wu, Wei Du, Ping Yi, Zhuosheng Zhang, Gongshen Liu

CoRR, 2024

LLMs Instruct LLMs: An Extraction and Editing Method.

Xin Zhang, Tianjie Ju, Huijia Liang, Ying Fu, Qin Zhang

CoRR, 2024

Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency.

Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan

CoRR, 2024

Is it Possible to Edit Large Language Models Robustly?

Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, Yulong Wang

CoRR, 2024

Fine-Grained Contrastive Learning for Pulmonary Nodule Classification.

Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan

Proceedings of the International Joint Conference on Neural Networks, 2024

On the Robustness of Editing Large Language Models.

Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, Yulong Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study.

Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Backdoor NLP Models via AI-Generated Text.

Wei Du, Tianjie Ju, Ge Ren, Gaolei Li, Gongshen Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models.

Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

UOR: Universal Backdoor Attacks on Pre-trained Language Models.

Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Robust Secret Data Hiding for Transformer-based Neural Machine Translation.

Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju

Proceedings of the International Joint Conference on Neural Networks, 2023

Neural Linguistic Steganography with Controllable Security.

Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju

Proceedings of the International Joint Conference on Neural Networks, 2023

Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts.

Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity.

Tianjie Ju, Han Liao, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

FLAG: Flow Representation Generator based on Self-supervised Learning for Encrypted Traffic Classification.

Wenting Wei, Tianjie Ju, Han Liao, Weike Zhao, Huaxi Gu

Proceedings of the APNet 2021: 5th Asia-Pacific Workshop on Networking, Shenzhen, China, June 24, 2021