LLM Security - SkrewAI (Page 2)

LLM Security

LLM Poisoning: How Corrupted Training Data Compromises AI

Data poisoning attacks targeting large language models can manipulate outputs by corrupting training datasets. Understanding these vulnerabilities is critical for maintaining AI system integrity and authenticity.

LLM Security

New Research Exposes Automated Multi-Turn LLM Jailbreaks

Researchers demonstrate scalable methods for automating multi-turn jailbreak attacks against large language models, revealing critical vulnerabilities in current AI safety measures and guardrails.

AI Safety

Multi-LLM Jailbreak Study Reveals Scaling Patterns

New research examines adversarial alignment across multiple language models, revealing how jailbreak attack effectiveness scales with model size and defensive measures. The study provides quantitative insights into LLM security vulnerabilities.

LLM Security

AdversariaLLM: New Toolbox for Testing AI Robustness

Researchers introduce AdversariaLLM, a modular framework for evaluating large language model vulnerabilities. The open-source toolbox standardizes adversarial testing methodologies for AI security research.