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2020 – today
- 2024
[c10]Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu:
UOR: Universal Backdoor Attacks on Pre-trained Language Models. ACL (Findings) 2024: 7865-7877- [c9]Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu:
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. ACL (1) 2024: 8987-9001 - [c8]Wei Du, Tianjie Ju, Ge Ren, Gaolei Li, Gongshen Liu:
Backdoor NLP Models via AI-Generated Text. LREC/COLING 2024: 2067-2079 - [c7]Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu:
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. LREC/COLING 2024: 8235-8246 - [c6]Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan:
Fine-Grained Contrastive Learning for Pulmonary Nodule Classification. IJCNN 2024: 1-8 - [i8]Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, Yulong Wang:
Is it Possible to Edit Large Language Models Robustly? CoRR abs/2402.05827 (2024) - [i7]Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu:
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. CoRR abs/2402.11900 (2024) - [i6]Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu:
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. CoRR abs/2402.16061 (2024) - [i5]Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan:
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency. CoRR abs/2403.12695 (2024) - [i4]Xin Zhang, Tianjie Ju, Huijia Liang, Ying Fu, Qin Zhang:
LLMs Instruct LLMs: An Extraction and Editing Method. CoRR abs/2403.15736 (2024) - [i3]Pengzhou Cheng, Yidong Ding, Tianjie Ju, Zongru Wu, Wei Du, Ping Yi, Zhuosheng Zhang, Gongshen Liu:
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models. CoRR abs/2405.13401 (2024) - [i2]Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, Gongshen Liu:
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities. CoRR abs/2407.07791 (2024) - [i1]Pengzhou Cheng, Zongru Wu, Tianjie Ju, Wei Du, Zhuosheng Zhang, Gongshen Liu:
Transferring Backdoors between Large Language Models by Knowledge Distillation. CoRR abs/2408.09878 (2024) - 2023
- [c5]Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu:
Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts. ACL (Findings) 2023: 7804-7819 - [c4]Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju:
Neural Linguistic Steganography with Controllable Security. IJCNN 2023: 1-8 - [c3]Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju:
Robust Secret Data Hiding for Transformer-based Neural Machine Translation. IJCNN 2023: 1-8 - 2022
- [c2]Tianjie Ju, Han Liao, Gongshen Liu:
TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity. IJCNN 2022: 1-8 - 2021
- [c1]Wenting Wei, Tianjie Ju, Han Liao, Weike Zhao, Huaxi Gu:
FLAG: Flow Representation Generator based on Self-supervised Learning for Encrypted Traffic Classification. APNet 2021: 14-20
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