Compete in HackAPrompt 2.0, the world's largest AI Red-Teaming competition!

Check it out β†’
Selamat Datang
πŸ˜ƒDasar
πŸ’Ό Aplikasi Dasar
πŸ§™β€β™‚οΈ Pelajaran Tingkat Menengah
πŸ€– Agen
βš–οΈ Keandalan
πŸ–ΌοΈ Prompt untuk Menghasilkan Gambar
πŸ”“ Prompt Hacking
πŸ”¨ Tooling
πŸ’ͺ Prompt Tuning
🎲 Serba aneka
Daftar Pustaka
πŸ“¦ Prompted Products
πŸ›Έ Sumber Daya Tambahan
πŸ”₯ Hot Topics
✨ Credits
πŸ”“ Prompt Hacking🟒 Tindakan Defensif🟒 Penyaringan Kata / Frasa (Filtering)

Penyaringan Kata / Frasa (Filtering)

🟒 This article is rated easy
Reading Time: 1 minute
Last updated on August 7, 2024

Sander Schulhoff

Filtering adalah teknik umum untuk mencegah peretasan prompt. Ada beberapa jenis filtrasi, tetapi ide dasarnya adalah memeriksa kata-kata dan frasa dalam prompt awal atau keluaran yang harus diblokir. Anda dapat menggunakan daftar blokir atau daftar izin untuk tujuan ini. Blocklist adalah daftar kata-kata dan frasa yang harus diblokir, dan allowlist adalah daftar kata-kata dan frasa yang harus diizinkan.

Sander Schulhoff

Sander Schulhoff is the CEO of HackAPrompt and Learn Prompting. He created the first Prompt Engineering guide on the internet, two months before ChatGPT was released, which has taught 3 million people how to prompt ChatGPT. He also partnered with OpenAI to run the first AI Red Teaming competition, HackAPrompt, which was 2x larger than the White House's subsequent AI Red Teaming competition. Today, HackAPrompt partners with the Frontier AI labs to produce research that makes their models more secure. Sander's background is in Natural Language Processing and deep reinforcement learning. He recently led the team behind The Prompt Report, the most comprehensive study of prompt engineering ever done. This 76-page survey, co-authored with OpenAI, Microsoft, Google, Princeton, Stanford, and other leading institutions, analyzed 1,500+ academic papers and covered 200+ prompting techniques.

Footnotes

  1. Kang, D., Li, X., Stoica, I., Guestrin, C., Zaharia, M., & Hashimoto, T. (2023). Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks. ↩

  2. Selvi, J. (2022). Exploring Prompt Injection Attacks. https://research.nccgroup.com/2022/12/05/exploring-prompt-injection-attacks/ ↩