Copertina

Measuring Copyright Risks of Large Language Model via Partial Information Probing

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Weijie, Shao, Huajie, Xu, Zhaozhuo, Duan, Suzhen, Zhang, Denghui
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Cryptography and Security
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Token-wise Influential Training Data Retrieval for Large Language Models
di: Lin, Huawei, et al.
Pubblicazione: (2024)

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

Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
di: Xu, Naen, et al.
Pubblicazione: (2025)

Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency
di: Zhao, Shiji, et al.
Pubblicazione: (2025)

REEF: Representation Encoding Fingerprints for Large Language Models
di: Zhang, Jie, et al.
Pubblicazione: (2024)

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

Prefix Probing: Lightweight Harmful Content Detection for Large Language Models
di: Yang, Jirui, et al.
Pubblicazione: (2025)

Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models
di: Xu, Zihao, et al.
Pubblicazione: (2024)

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
di: Shao, Hanyin, et al.
Pubblicazione: (2023)

SAID: Safety-Aware Intent Defense via Prefix Probing for Large Language Models
di: Chen, Yulong, et al.
Pubblicazione: (2025)

ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models
di: Owiredu-Ashley, Harry
Pubblicazione: (2026)

AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models
di: Zhang, Jinchuan, et al.
Pubblicazione: (2025)

Phare: A Safety Probe for Large Language Models
di: Jeune, Pierre Le, et al.
Pubblicazione: (2025)

Large Language Model Sentinel: LLM Agent for Adversarial Purification
di: Lin, Guang, et al.
Pubblicazione: (2024)

Prefix Guidance: A Steering Wheel for Large Language Models to Defend Against Jailbreak Attacks
di: Zhao, Jiawei, et al.
Pubblicazione: (2024)

RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent
di: Xu, Huiyu, et al.
Pubblicazione: (2024)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
di: Zhao, Shuai, et al.
Pubblicazione: (2024)

Stealthy and Persistent Unalignment on Large Language Models via Backdoor Injections
di: Cao, Yuanpu, et al.
Pubblicazione: (2023)

Probing the Robustness of Large Language Models Safety to Latent Perturbations
di: Gu, Tianle, et al.
Pubblicazione: (2025)

CATMark: A Context-Aware Thresholding Framework for Robust Cross-Task Watermarking in Large Language Models
di: Zhang, Yu, et al.
Pubblicazione: (2025)

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

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

Defending against Jailbreak through Early Exit Generation of Large Language Models
di: Zhao, Chongwen, et al.
Pubblicazione: (2024)

from Benign import Toxic: Jailbreaking the Language Model via Adversarial Metaphors
di: Yan, Yu, et al.
Pubblicazione: (2025)

DePrompt: Desensitization and Evaluation of Personal Identifiable Information in Large Language Model Prompts
di: Sun, Xiongtao, et al.
Pubblicazione: (2024)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
di: Zhao, Shuai, et al.
Pubblicazione: (2024)

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
di: Luo, Zhifan, et al.
Pubblicazione: (2025)

Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation
di: Wang, Haoyu, et al.
Pubblicazione: (2024)

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

Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond
di: Wang, Xuhong, et al.
Pubblicazione: (2024)

RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction
di: Jiang, Tanqiu, et al.
Pubblicazione: (2024)

Searching for Privacy Risks in LLM Agents via Simulation
di: Zhang, Yanzhe, et al.
Pubblicazione: (2025)

QueryAttack: Jailbreaking Aligned Large Language Models Using Structured Non-natural Query Language
di: Zou, Qingsong, et al.
Pubblicazione: (2025)

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

Imperceptible Jailbreaking against Large Language Models
di: Gao, Kuofeng, et al.
Pubblicazione: (2025)

CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language Models
di: Zhou, Guanghao, et al.
Pubblicazione: (2025)

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models
di: Ying, Zonghao, et al.
Pubblicazione: (2025)

Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining
di: Wu, Zongru, et al.
Pubblicazione: (2024)

ForgeDAN: An Evolutionary Framework for Jailbreaking Aligned Large Language Models
di: Cheng, Siyang, et al.
Pubblicazione: (2025)

Harry Potter is Still Here! Probing Knowledge Leakage in Targeted Unlearned Large Language Models via Automated Adversarial Prompting
di: To, Bang Trinh Tran, et al.
Pubblicazione: (2025)