Copertina

DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sun, Xiongtao, Liu, Gan, He, Zhipeng, Li, Hui, Li, Xiaoguang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Cryptography and Security Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in Large Language Models
di: Zheng, Yujia, et al.
Pubblicazione: (2025)

Efficient Detection of Toxic Prompts in Large Language Models
di: Liu, Yi, et al.
Pubblicazione: (2024)

Goal-guided Generative Prompt Injection Attack on Large Language Models
di: Zhang, Chong, et al.
Pubblicazione: (2024)

FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
di: Gong, Yichen, et al.
Pubblicazione: (2023)

InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
di: Li, Hao, et al.
Pubblicazione: (2024)

Evaluation of Prompt Injection Defenses in Large Language Models
di: Deep, Priyal, et al.
Pubblicazione: (2026)

SoK: Prompt Hacking of Large Language Models
di: Rababah, Baha, et al.
Pubblicazione: (2024)

CREBench: Evaluating Large Language Models in Cryptographic Binary Reverse Engineering
di: Chen, Baicheng, et al.
Pubblicazione: (2026)

SoK: Taxonomy and Evaluation of Prompt Security in Large Language Models
di: Hong, Hanbin, et al.
Pubblicazione: (2025)

An Engorgio Prompt Makes Large Language Model Babble on
di: Dong, Jianshuo, et al.
Pubblicazione: (2024)

SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains
di: Saiem, Bijoy Ahmed, et al.
Pubblicazione: (2024)

"Moralized" Multi-Step Jailbreak Prompts: Black-Box Testing of Guardrails in Large Language Models for Verbal Attacks
di: Wang, Libo
Pubblicazione: (2024)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
di: Wang, Zhepeng, et al.
Pubblicazione: (2024)

Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
di: Ganiuly, Daniyal, et al.
Pubblicazione: (2025)

RECAP: A Resource-Efficient Method for Adversarial Prompting in Large Language Models
di: Chugh, Rishit
Pubblicazione: (2026)

Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models
di: Zhao, Wei, et al.
Pubblicazione: (2024)

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference
di: Levin, Roman, et al.
Pubblicazione: (2025)

System Prompt Poisoning: Persistent Attacks on Large Language Models Beyond User Injection
di: Li, Zongze, et al.
Pubblicazione: (2025)

The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts
di: Shen, Zhili, et al.
Pubblicazione: (2024)

Prompt Injection as Role Confusion
di: Ye, Charles, et al.
Pubblicazione: (2026)

Jatmo: Prompt Injection Defense by Task-Specific Finetuning
di: Piet, Julien, et al.
Pubblicazione: (2023)

AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models
di: Reddy, Aashray, et al.
Pubblicazione: (2025)

JailbreakEval: An Integrated Toolkit for Evaluating Jailbreak Attempts Against Large Language Models
di: Ran, Delong, et al.
Pubblicazione: (2024)

Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
di: Xiong, Junjie, et al.
Pubblicazione: (2025)

DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
di: Li, Xirui, et al.
Pubblicazione: (2024)

Soft Begging: Modular and Efficient Shielding of LLMs against Prompt Injection and Jailbreaking based on Prompt Tuning
di: Ostermann, Simon, et al.
Pubblicazione: (2024)

CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
di: Lv, Huijie, et al.
Pubblicazione: (2024)

ReasAlign: Reasoning Enhanced Safety Alignment against Prompt Injection Attack
di: Li, Hao, et al.
Pubblicazione: (2026)

Resource Consumption Threats in Large Language Models
di: Zhang, Yuanhe, et al.
Pubblicazione: (2026)

WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents
di: Liu, Yinuo, et al.
Pubblicazione: (2025)

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models
di: Zhang, Jiawen, et al.
Pubblicazione: (2025)

Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging
di: Cong, Tianshuo, et al.
Pubblicazione: (2024)

Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning
di: Khan, Arshiya, et al.
Pubblicazione: (2024)

You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors
di: Cao, Bochuan, et al.
Pubblicazione: (2025)

AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
di: Wang, Yu, et al.
Pubblicazione: (2024)

WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web Agents
di: Wang, Xilong, et al.
Pubblicazione: (2026)

PIArena: A Platform for Prompt Injection Evaluation
di: Geng, Runpeng, et al.
Pubblicazione: (2026)

PromptKeeper: Safeguarding System Prompts for LLMs
di: Jiang, Zhifeng, et al.
Pubblicazione: (2024)

SoK: Large Language Model Copyright Auditing via Fingerprinting
di: Shao, Shuo, et al.
Pubblicazione: (2025)

Internal Safety Collapse in Frontier Large Language Models
di: Wu, Yutao, et al.
Pubblicazione: (2026)