Security/_Index

This official report by the European External Action Service provides an up-to-date analysis of the digital threat landscape facing Europe in 2025. It reviews key state and non-state actors, evaluates emerging risks in cyberspace, and discusses the impact of disinformation campaigns, critical infrastructure vulnerabilities, and evolving digital conflict tactics. The document also includes recommendations for policy makers and digital sector stakeholders to strengthen European resilience against digital threats.

This comprehensive study examines methods for developing machine learning systems that protect individual privacy while maintaining high performance. The research analyzes various privacy-preserving techniques including differential privacy, federated learning, and secure multi-party computation. The authors provide practical guidelines for implementing privacy-preserving ML systems and evaluate the trade-offs between privacy guarantees and model utility. The paper also addresses emerging challenges in privacy-preserving ML, including new attack vectors and regulatory compliance requirements.