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jS5t3r authored Jun 17, 2024
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---

Computer science Ph.D. stipend holder at the Fraunhofer Institute for Industrial Mathematics (ITWM) and Fraunhofer Research Center Machine Learning. I am interested in the intersection of ML and computer security.
In particular, **robustness** and **trustworthiness** of deep neural networks.
In particular, deep neural networks' **robustness** and **trustworthiness**.
My key research interest is the **analysis of adversarial examples** on DNN.

I was advised by my ex-team lead [Janis Keuper](https://www.itwm.fraunhofer.de/en/departments/hpc/staff/janis-keuper.html) and supervised by Prof. [Ullrich Köthe](https://hci.iwr.uni-heidelberg.de/vislearn/people/ullrich-koethe). I am an external Ph.D. student at the University of Heidelberg (2nd best-ranked German university).

I also had the opportunity to intern with Prof. Sijia Liu ([MSU](https://lsjxjtu.github.io/) & [MIT-IBM](https://mitibmwatsonailab.mit.edu/people/sijia-liu/)) and Pin-Yu Chen ([MIT-IBM](https://sites.google.com/site/pinyuchenpage/home)), focusing on adversarial machine learning.
Our paper titled "Visual Prompting for Adversarial Robustness" achieved recognition within the top 3% at the ICASSP conference.
Our "Visual Prompting for Adversarial Robustness" paper achieved recognition within the top 3% at the ICASSP conference.

[Leave me an anonymous comment!](https://forms.gle/xYPpvQmZ9yBjKJdg6)

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