AI Model Denial of Service: The Silent Killer of LLM Performance
Protect your AI language models! Learn about Model DoS, the silent performance killer, and how to build resilient systems.
AI Security
Latest posts
The Effectiveness of Many-Shot Jailbreaking Attacks on Language Models
Many-Shot Jailbreaking (MSJ) attacks exploit language models' expanded context windows to induce harmful outputs. Current alignment techniques like supervised fine-tuning and reinforcement learning fail to fully mitigate MSJ risks.
Exploiting Hallucinations to Bypass Filters in Language Models with Reversals
This paper introduces a novel method to bypass the filters of Large Language Models (LLMs) like GPT4 and Claude Sonnet through induced hallucinations, revealing a significant vulnerability in their reinforcement learning from human feedback (RLHF) fine-tuning process.
Prompt Hacking: The New Cyber Threat
Confused about prompt hacking? Learn how malicious prompts can exploit AI and what you can do to protect yourself and your data.