paper-with-me

Papers

Protect Your Prompts: Protocols for IP Protection in LLM Applications

2023-06-09 · M. A. van Wyk, M. Bekker, X. L. Richards, K. J. Nixon

With the rapid adoption of AI in the form of large language models (LLMs), the potential value of carefully engineered prompts has become significant. However, to realize this potential, prompts should be tradable on an open market. Since prompts are, at present, generally economically non-excludable, by virtue of their nature as text, no general competitive market has yet been established. This note discusses two protocols intended to provide protection of prompts, elevating their status as intellectual property, thus confirming the intellectual property rights of prompt engineers, and potentially supporting the flourishing of an open market for LLM prompts.

📄 PDF Abstract BibTeX arXiv:2306.06297

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

PRIME: Protect Your Videos From Malicious Editing

2024-02-02 · Guanlin Li, Shuai Yang, Jie Zhang, Tianwei Zhang

With the development of generative models, the quality of generated content keeps increasing. Recently, open-source models have made it surprisingly easy to manipulate and edit photos and videos, with just a few simple p…

GPU

Adversarial speech for voice privacy protection from Personalized Speech generation

2024-01-22 · Shihao Chen, Liping Chen, Jie Zhang, KongAik Lee 외

The rapid progress in personalized speech generation technology, including personalized text-to-speech (TTS) and voice conversion (VC), poses a challenge in distinguishing between generated and real speech for human list…

Speaker Verificationtext-to-speechText to SpeechVoice Conversion

Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft

2025-10-09 · Peiyang Liu, Ziqiang Cui, Di Liang, Wei Ye arxiv

Retrieval-augmented generation (RAG) enhances Large Language Models (LLMs) by mitigating hallucinations and outdated information issues, yet simultaneously facilitates unauthorized data appropriation at scale. This paper…

Reversing Deep Face Embeddings with Probable Privacy Protection

2023-10-04 · Daile Osorio-Roig, Paul A. Gerlitz, Christian Rathgeb, Christoph Busch

Generally, privacy-enhancing face recognition systems are designed to offer permanent protection of face embeddings. Recently, so-called soft-biometric privacy-enhancement approaches have been introduced with the aim of …

Face RecognitionImage Reconstruction

A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management

2025-09-10 · Julian Oelhaf, Georg Kordowich, Mehran Pashaei, Christian Bergler 외 arxiv

The integration of renewable and distributed energy resources reshapes modern power systems, challenging conventional protection schemes. This scoping review synthesizes recent literature on machine learning (ML) applica…