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AI Security: Users Seek Best Models for Red-Team Attacks and Datasets

A user on r/MachineLearning is seeking recommendations for large language models (LLMs) that are effective at generating red-team attacks. They are interested in both closed-source and open-source models capable of creating diverse attacks like toxicity, prompt injection, and jailbreaks. Additionally, the user is looking for a public dataset that can be used to benchmark or validate the security of AI agents, preferably one with predefined, high-quality attacks. AI

IMPACT Identifies current needs in AI security tooling and potential gaps in available models and datasets for adversarial testing.

RANK_REASON User query seeking recommendations for AI models and datasets related to AI security.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI Security: Users Seek Best Models for Red-Team Attacks and Datasets

COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/Background-Song2007 ·

    Best models for generating red-team attacks? Also looking for public datasets [R]

    <!-- SC_OFF --><div class="md"><p>Hi everyone, I'm currently working on a framework to evaluate the security of LLM applications and AI agents, and I've been stuck on one part for a while.</p> <p>Most red-teaming frameworks rely on an LLM to generate adversarial prompts. My quest…