David M. Erb
Computer Science Master's student @ ETH
I am a Computer Science Master’s student at ETH Zurich. I completed my BSc in Computer Science at the Technical University of Munich (TUM) in 2026, and am a scholar of the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes) throughout my studies. During my Bachelor’s, I completed a research internship in the PreMeDICaL Team at Inria, where I wrote my Bachelor’s thesis under the supervision of Aurélien Bellet. I am deeply interested in Differential Privacy (DP) and its applications in building trustworthy machine learning models.
Previously, I spent a year as a Visiting Undergraduate Student at Harvard University. Alongside my academic work, I also gained applied industry experience as a Research Engineering Intern at Oblivious. Outside of my research, you can find me playing soccer or learning Mandarin Chinese.
news
| Sep 24, 2026 | Our paper Lumberjack: Better Differentially Private Random Forests through Heavy Hitter Detection in Trees was accepted to NeurIPS 2026! |
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| Sep 14, 2026 | I graduated from Technical University of Munich and am starting a Master’s degree in Computer Science at ETH Zurich, majoring in Theoretical Computer Science with a Minor in Information Security. |
| Jun 24, 2026 | Attended the CNIL Privacy Research Day in Paris and gave a talk on our paper Privacy in Theory, Bugs in Practice: Grey-Box Auditing of Differential Privacy Libraries. A recording can be found here. |
| Feb 23, 2026 | Check out our new blog post on auditing differential privacy software! |