Safeguarding Location Data: Adversarial Defense for Privacy in Multimodal AI

This research explores a crucial area of AI safety: protecting sensitive information, specifically geographic data, within complex multimodal models. The use of adversarial techniques represents a proactive approach to mitigating privacy risks associated with advanced AI systems.

• •Addresses privacy concerns in AI models that handle multimodal data.
• •Employs adversarial techniques to enhance data privacy.
• •Focuses on protecting geographic information, a sensitive data type.