Philipp Benz
Member Of Technical Staff at Magic
United States
Summary
👤
Senior🎓
Top SchoolPhilipp Benz is a machine learning and computer vision researcher with nine years’ experience building robust, human-like visual perception systems for real-world deployment. He earned a PhD in Deep Learning from KAIST and has published at top venues including ICCV, CVPR, NeurIPS, and AAAI, translating academic rigor into production-focused research leadership. As former ML Research Team Lead at Deeping Source and now Member of Technical Staff at Magic, he bridges deep research with applied engineering to make models more reliable under real-world shifts. Philipp’s work emphasizes robustness and reliability—often exploring failure modes and defenses—so his systems prioritize trustworthy performance over raw benchmarks. He maintains an academic-to-industry trajectory and a public research portfolio at https://phibenz.github.io.
9 years of coding experience
8 years of employment as a software developer
Diploma, Mechanical Engineering, Diploma, Mechanical Engineering at University of KaiserslauternDoctor of Philosophy - PhD, Deep Learning, Doctor of Philosophy - PhD, Deep Learning at Korea Advanced Institute of Science and Technology
Github Skills (23)
fingerprint10
security9
vulnerability-detection9
source-code-analysis9
vulnerabilities8
infosec8
python4
robustness3
tensorflow3
machine-learning3
trading-bot2
bitcoin2
trading2
adversarial-attacks2
pytorch2
Programming languages (3)
Github contributions (5)
phibenz/robustness_comparison_vit_mlp-mixer_cnn
Oct 2021 - May 2022
Contributions:8 commits, 2 pushes, 3 comments in 7 months
phibenz/adversarial_ml.research
Sep 2021 - Oct 2021
Contributions:7 commits, 4 pushes, 1 branch in 1 month
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