Security and Auditing Tools in Large Language Models

Explore security vulnerabilities and auditing methodologies for Large Language Models in this 23-minute conference talk from Conf42 LLMs 2025. Begin with an introduction to transformers in natural language processing and understand the training and fine-tuning processes of language models. Examine critical security concerns including injection attacks and their mitigation strategies, then delve into adversarial attacks targeting machine learning models. Learn about specialized tools for evaluating model robustness and discover privacy-focused security auditing frameworks. Gain practical insights into protecting LLM deployments through comprehensive security assessment techniques and best practices for maintaining model integrity in production environments.