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LiveOverflow | Defending LLM - Prompt Injection @LiveOverflow | Uploaded 1 year ago | Updated 3 hours ago
After we explored attacking LLMs, in this video we finally talk about defending against prompt injections. Is it even possible?

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Watch the complete AI series:
youtube.com/playlist?list=PLhixgUqwRTjzerY4bJgwpxCLyfqNYwDVB

Language Models are Few-Shot Learners: arxiv.org/pdf/2005.14165.pdf
A Holistic Approach to Undesired Content Detection in the Real World: arxiv.org/pdf/2208.03274.pdf

Chapters:
00:00 - Intro
00:43 - AI Threat Model?
01:51 - Inherently Vulnerable to Prompt Injections
03:00 - It's not a Bug, it's a Feature!
04:49 - Don't Trust User Input
06:29 - Change the Prompt Design
08:07 - User Isolation
09:45 - Focus LLM on a Task
10:42 - Few-Shot Prompt
11:45 - Fine-Tuning Model
13:07 - Restrict Input Length
13:31 - Temperature 0
14:35 - Redundancy in Critical Systems
15:29 - Conclusion
16:21 - Checkout LiveOverfont

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Defending LLM - Prompt InjectionThe Three JavaScript Hacking LegendsTroubleshooting AFL Fuzzing Problems | Ep. 03The End Of Humans In MinecraftInjection Vulnerabilities - or: How I got a free BurgerVelocity Exploit on Paper?Reading Player Position with DLL Injection - Pwn Adventure 3Exploit Dev Pitfall Corrupted ShellcodeCan We Find a New Exploit Strategy? | Ep. 13Finding iOS Kernel Exploit // SockPuppet Jailbreak - CVE-2019-8605Found a Crash Through Fuzzing? Minimize AFL Testcases! | Ep. 05Sudo Exploit for (old) Ubuntu 20.04 LTS

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