Defending against adversarial attacks using mixture of experts

This article likely discusses a research paper exploring the use of Mixture of Experts (MoE) models to improve the robustness of AI systems against adversarial attacks. Adversarial attacks involve crafting malicious inputs designed to fool AI models. MoE architectures, which combine multiple specialized models, may offer a way to mitigate these attacks by leveraging the strengths of different experts. The ArXiv source indicates this is a pre-print, suggesting the research is ongoing or recently completed.

• •The research focuses on improving AI security against adversarial attacks.
• •Mixture of Experts (MoE) models are the core technology being investigated.
• •The source is ArXiv, indicating a research paper or pre-print.