`Hello, World!`

Edoardo Debenedetti

M.Sc. in Computer Science Student

EPFL

Hello there! I am Edoardo, a Computer Science M.Sc. student at EPFL, with a strong focus on Machine Learning and Security. I earned a Computer Engineering B.Sc. at PoliTo, after spending my sophomore year as an exchange student at Tongji University (同济大学) in Shanghai, supported by PoliTong scholarship.

My research interest is Trustworthy ML in its different aspects.

I am currently working on my Master thesis about the robustness ov Vision Transformers in Prof. Mittal’s lab at Princeton University, and I am one of the co-authors and maintainers of RobustBench, a standardized benchmark for adversarial robustness.

Last summer I worked as a Software Engineering Intern at Bloomberg LP, and previously, during the Fall 2020 semester, I was a Research Intern at armasuisse CYD Campus, supervised by Dr. Humbert.

During the Spring 2020 semester, I did a research project at Prof. Troncoso SPRING Lab, where I worked on influence functions with the aim of counteracting deepfakes.

I attended Military Navy College “F. Morosini”, in Venice, I am a member of LeadTheFuture, the leading mentoring program for STEM students in Italy, and I have been junior entrepreneur at JEToP.

I love swimming, sailing, and travelling.

Interests

Trustworthy Machine Learning

Education

M.Sc. in Computer Science 🇨🇭, 2019-2022 (exp.)

EPFL - Swiss Federal Institute of Technology, Lausanne, Switzerland
B.Sc. in Computer Engineering 🇮🇹, 2016-2019

PoliTo - Turin Polytechic University, Italy
Exchange Year 🇨🇳, 2017-2018

Tongji University, Shanghai, China

Experience

(looking for more)

Software Engineering Intern

Bloomberg LP

Jul 2021 – Sep 2021 London, UK

Worked in the Multi Asset Risk System team, on the re‑design and implementation of the configuration of a distributed logging library.

Research Intern

armasuisse Cyber-Defence Campus

Aug 2020 – Jan 2021 Lausanne, Switzerland

Cyber-Defence Campus is the Swiss equivalent of DARPA,a research center of the ArmedForces for the cyber-defence capability development. I have been hosted and supervised by Dr. Humbert.

Conducted research about Machine Unlearning and Membership Inference Attacks against Generative Models under the supervision of Dr. Mathias Humbert.
Tools in use: PyTorch, PyTorch Lightning, Comet ML, and Python.

Software Engineering Intern

Reply

Nov 2018 – Mar 2019 Turin, Italy

Reply is one of the top IT consulting groups in Italy, with revenue worth €1B+ in 2018. I have interned at Blue Reply, Reply’s company that offers IBM based solutions.

Created a chatbot that answers questions about GDPR law. The bot could help 320M+ EU citizens to easily understand GDPR. Stack: TypeScript, Redis, MongoDB, IBM Watson Assistant, Docker.
Worked on RPA, using Automation Anywhere and Python. One ofthe bots I created decreased the duration of a task by 88%, without requiring human intervention in it.