From Research to Working Technology
Scientific understanding becoming technology that is actually deployed — repeatedly, and by pattern rather than by chance.
This scientific foundation has repeatedly translated into practical technology.
His career began at IBM Research Zurich, connecting fundamental research with industrial application from an early stage. Research conducted by Backes and his teams subsequently led to patents, deployed security technologies, open-source systems, research spin-offs and technologies adopted far beyond the academic community.
Among these examples is AppGuard, a mobile-security technology originating from research in his environment that achieved widespread practical deployment. His work on privacy-preserving distributed learning contributed to Swarm Learning, a new decentralized machine-learning paradigm featured on the cover of *Nature*. More recently, his research has addressed emerging security challenges around generative AI, including prompt attacks, jailbreaks, privacy leakage and the trustworthiness of large language models.
The common pattern is the ability to move from scientific understanding to technological relevance — and then to ask what the next implications will be for companies, institutions and society.
