Spotlights
Articles showcase the heart of the Computer Science Department: exceptional individuals, ground-breaking research, a strong focus on key topics and current projects, along with an inherent dedication to the development of computer science.
Researchers at ETH Zurich develop the fastest possible flow algorithm
Rasmus Kyng has written the near-perfect algorithm. It computes the maximum transport flow at minimum cost for any kind of network – be it rail, road or electricity – at a speed that is, mathematically speaking, impossible to beat. The superfast algorithm solves a key question in theoretical computer science and lays the foundation for efficiently computing very large and dynamically changing networks in the future.
"If you survive this, then nothing will stop you"
In this series of interviews, we talk to three people who decided to pursue an academic career after studying computer science and are now working as professors. In the second part, Niao He talks about the challenges of the academic path, what it means for her to be a good teacher and how working as an assistant professor has also boosted her self-confidence.
Torsten Hoefler featured in People of ACM
Professor Torsten Hoefler from the Institute for High Performance Computing Systems has been featured in the latest "People of ACM". These "People of ACM" bulletins cover ACM members whose personal and professional stories are a source of inspiration for the larger computing community. Congratulations!
Distinguished Paper Award for D-INFK paper
One of the papers highlighted in the ETH article "Knocking cloud security off its game" from April 2024 has received the Distinguished Paper Award at the IEEE Security and Privacy Symposium. Congratulations to Prof. Shweta Shinde and her team. Missed the article? Click for more.
SPY Lab researchers first to ever peek into ChatGPT’s black box
In a world-first, researchers from the SPY Lab led by Professor Florian Tramèr along with collaborators have succeeded in extracting secret information on the large language model behind ChatGPT. The team responsibly disclosed the results of their “model stealing attack” to OpenAI. Following the disclosure, the company immediately implemented countermeasures to protect the model.