Peter Lorenz
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolPeter Lorenz is a postdoctoral researcher at Nanyang Technological University, Singapore, specializing in adversarial machine learning and trustworthy AI at the intersection of machine learning and computer security. Over 11 years, he has bridged academia and industry, contributing to security-focused ML research at Fraunhofer ITWM and the MIT-IBM Watson AI Lab, and applying ML in autonomous driving at the Virtual Vehicle Research Center. His work emphasizes robust, auditable ML systems that perform under adversarial conditions, blending theoretical rigor with practical security engineering. He earned a PhD in Computer Science from the University of Heidelberg and dual degrees from Technische Universität Graz, underscoring a strong foundation in both advanced research and engineering. Based in Singapore, he brings an international perspective from Europe to Southeast Asia and is motivated by turning complex security challenges into deployable, trustworthy solutions.
11 years of coding experience
6 years of employment as a software developer
University of Heidelberg
German, French, English, Chinese
Github Skills (170)
unreal-engine-410
anomaly-detection10
simulator10
robustness10
ros10
outlier-detection10
autonomous-driving10
novelty-detection10
diffusion-probabilistic10
computer-vision10
deep-reinforcement-learning10
imitation-learning10
grad-cam9
robotics9
denoising9
Programming languages (8)
Github contributions (5)
lorenz-peter/lorenz-peter.github.io
Jan 2022 - Jun 2024
Personal website of Peter Lorenz
Contributions:2 PRs, 326 pushes, 2 branches in 2 years 5 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
adverML/SpectralDef_Framework
Dec 2021 - May 2022
Contributions:8 releases, 25 commits, 56 pushes in 5 months
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