Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xuan, Yin, Zhe, Gu, Xiaodong, Shen, Beijun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
by: Wang, Guangzhan, et al.
Published: (2025)
by: Wang, Guangzhan, et al.
Published: (2025)
DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts
by: Sun, Xiongtao, et al.
Published: (2024)
by: Sun, Xiongtao, et al.
Published: (2024)
Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
by: Yin, Zhe, et al.
Published: (2025)
by: Yin, Zhe, et al.
Published: (2025)
Towards Goal-oriented Prompt Engineering for Large Language Models: A Survey
by: Li, Haochen, et al.
Published: (2024)
by: Li, Haochen, et al.
Published: (2024)
Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)
by: Liu, Hongxuan, et al.
Published: (2024)
PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)
by: Wang, Yaxuan, et al.
Published: (2025)
Just-In-Time Software Defect Prediction via Bi-modal Change Representation Learning
by: Jiang, Yuze, et al.
Published: (2024)
by: Jiang, Yuze, et al.
Published: (2024)
ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
by: Zhang, Qing, et al.
Published: (2025)
by: Zhang, Qing, et al.
Published: (2025)
Continual Learning Using Only Large Language Model Prompting
by: Qiu, Jiabao, et al.
Published: (2024)
by: Qiu, Jiabao, et al.
Published: (2024)
Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)
by: Ma, Ruotian, et al.
Published: (2024)
Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
by: Mu, Lin, et al.
Published: (2025)
by: Mu, Lin, et al.
Published: (2025)
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
An Empirical Study on Prompt Compression for Large Language Models
by: Zhang, Zheng, et al.
Published: (2025)
by: Zhang, Zheng, et al.
Published: (2025)
Large Language Model Sourcing: A Survey
by: Pang, Liang, et al.
Published: (2025)
by: Pang, Liang, et al.
Published: (2025)
Do Influence Functions Work on Large Language Models?
by: Li, Zhe, et al.
Published: (2024)
by: Li, Zhe, et al.
Published: (2024)
Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)
by: Bo, Xiaohe, et al.
Published: (2025)
On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)
by: Zheng, Chujie, et al.
Published: (2024)
Large Language Models Prompting With Episodic Memory
by: Do, Dai, et al.
Published: (2024)
by: Do, Dai, et al.
Published: (2024)
On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)
by: Cao, Bowen, et al.
Published: (2024)
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites
by: Santos, Gabriel Machado, et al.
Published: (2025)
by: Santos, Gabriel Machado, et al.
Published: (2025)
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models
by: Li, Yitian, et al.
Published: (2024)
by: Li, Yitian, et al.
Published: (2024)
Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning
by: Wu, Huiwen, et al.
Published: (2024)
by: Wu, Huiwen, et al.
Published: (2024)
M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models
by: Guo, Jiaxin, et al.
Published: (2024)
by: Guo, Jiaxin, et al.
Published: (2024)
Towards Generalist Prompting for Large Language Models by Mental Models
by: Guan, Haoxiang, et al.
Published: (2024)
by: Guan, Haoxiang, et al.
Published: (2024)
Prompt-based Depth Pruning of Large Language Models
by: Wee, Juyun, et al.
Published: (2025)
by: Wee, Juyun, et al.
Published: (2025)
Prompt-Based Value Steering of Large Language Models
by: Abbo, Giulio Antonio, et al.
Published: (2025)
by: Abbo, Giulio Antonio, et al.
Published: (2025)
Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)
by: Wang, Yuqing, et al.
Published: (2023)
Unveiling and Manipulating Prompt Influence in Large Language Models
by: Feng, Zijian, et al.
Published: (2024)
by: Feng, Zijian, et al.
Published: (2024)
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023)
by: Li, Moxin, et al.
Published: (2023)
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
by: Zhou, Zhi, et al.
Published: (2024)
by: Zhou, Zhi, et al.
Published: (2024)
DND: Boosting Large Language Models with Dynamic Nested Depth
by: Chen, Tieyuan, et al.
Published: (2025)
by: Chen, Tieyuan, et al.
Published: (2025)
Self-Prompting Large Language Models for Zero-Shot Open-Domain QA
by: Li, Junlong, et al.
Published: (2022)
by: Li, Junlong, et al.
Published: (2022)
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
by: Hong, Junyuan, et al.
Published: (2023)
by: Hong, Junyuan, et al.
Published: (2023)
Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting
by: Jiang, Jiyue, et al.
Published: (2025)
by: Jiang, Jiyue, et al.
Published: (2025)
Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
by: Murthy, Rithesh, et al.
Published: (2025)
by: Murthy, Rithesh, et al.
Published: (2025)
Dynamic Compressing Prompts for Efficient Inference of Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
by: Xu, Benfeng, et al.
Published: (2023)
by: Xu, Benfeng, et al.
Published: (2023)
Large Language Models Vote: Prompting for Rare Disease Identification
by: Oniani, David, et al.
Published: (2023)
by: Oniani, David, et al.
Published: (2023)
Prompting Large Language Models for Supporting the Differential Diagnosis of Anemia
by: Castagnari, Elisa, et al.
Published: (2024)
by: Castagnari, Elisa, et al.
Published: (2024)
Similar Items
-
Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
by: Wang, Guangzhan, et al.
Published: (2025) -
DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts
by: Sun, Xiongtao, et al.
Published: (2024) -
Neuron-Guided Interpretation of Code LLMs: Where, Why, and How?
by: Yin, Zhe, et al.
Published: (2025) -
Towards Goal-oriented Prompt Engineering for Large Language Models: A Survey
by: Li, Haochen, et al.
Published: (2024) -
Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)