Vivi Andersson

I am a PhD student at the Division of Theoretical Computer Science (TCS) at KTH, supervised by Prof. Martin Monperrus and Musard Balliu. My research is conducted within the Centre for Cyber Defence and Information Security (CDIS).

Research

My research focuses on advancing machine learning techniques to improve software security by detecting and mitigating diverse vulnerabilities. This includes developing methods that combine neural and symbolic approaches to model patterns across programming environments.

These methods aim to leverage neural networks' scalability and symbolic reasoning's precision to address security challenges in a robust and interpretable manner.

My initial work applies these approaches to detect cryptographic API misuse in Go automatically.

Ultimately, my research aims to develop practical tools and insights that enhance the security and reliability of software systems, addressing real-world challenges developers face.

Interests

My research interests include machine learning for cyber security, software supply chains, and blockchain technology.