Prompt Hacking and Misuse of LLMs

Large Language Models can craft poetry, answer queries, and even write code. Yet, with immense power comes inherent risks. The same prompts that enable LLMs to engage in meaningful dialogue can be manipulated with malicious intent. Hacking, misuse, and a lack of comprehensive security protocols can turn these marvels of technology into tools of deception.

TrustLLM: Trustworthiness in Large Language Models

7 methods to secure LLM apps from prompt injections and jailbreaks [Guest]

Adversarial Robustness Could Help Prevent Catastrophic Misuse — AI Alignment Forum

Hacking LLMs with prompt injections, by Vickie Li

Newly discovered prompt injection tactic threatens large language models

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Manjiri Datar on LinkedIn: Protect LLM Apps from Evil Prompt Hacking (LangChain's Constitutional AI…

Generative AI — Protect your LLM against Prompt Injection in Production, by Sascha Heyer, Google Cloud - Community

Prompt Hacking: The Trojan Horse of the AI Age. How to Protect Your Organization, by Marc Rodriguez Sanz, The Startup