A Novel Approach to Differential Privacy with Alpha Divergence

As data-driven technologies advance swiftly, maintaining strong privacy measures becomes progressively difficult. Conventional $ε, δ$-differential privacy, while prevalent, exhibits limited adaptability for many applications. To mitigate these constraints, we present alpha differential privacy AD...

A Survey on Privacy Risks and Protection in Large Language Models

Although Large Language Models LLMs have become increasingly integral to diverse applications, their capabilities raise significant privacy concerns. This survey offers a comprehensive overview of privacy risks associated with LLMs and examines current solutions to mitigate these challenges. Firs...

Thinking about the balance between compliance and security

Today, many organizations still struggle to adhere to General Data Protection Regulation GDPR mandates even though this landmark regulation took effect nearly two years ago. A key learning for some: being compliant does not always mean you are secure. Shifting privacy regulations, combined with...