I am Edoardo, a CS PhD student at ETH Zürich, researching the security and privacy risks of ML in the real-world in the Secure and Private AI (SPY) Lab, advised by Florian Tramèr.
Visit my website for more information.
Name: Edoardo Debenedetti
Type: User
Company: ETH Zurich
Bio: PhD Student @ethz-spylab | ETH Zürich | ML security & privacy | Maintainer of @robustbench
Twitter: edoardo_debe
Location: Switzerland
Blog: edoardo.science
I am Edoardo, a CS PhD student at ETH Zürich, researching the security and privacy risks of ML in the real-world in the Secure and Private AI (SPY) Lab, advised by Florian Tramèr.
Visit my website for more information.
Advanced Programming course libraries
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Homework for the COM-402 Information Security and Privacy class @ EPFL
My personal CV
EPFL Database Systems Project 2
Personal README
My personal website, hosted on GitHub Pages, built with Hugo
My dotfiles (mainly Nix-related)
Homework for the EE-556 Mathematics of Data class @ EPFL
Gitlinks repository (uses https://github.com/lengstrom/gitlinks)
Hugo website content repository. Built with Hugo.
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
Project 1 of the Machine Learning course at EPFL.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]
Code for the paper "Scaling Compute Is Not All You Need for Adversarial Robustness" [ICLR 2RFM Workshop]
Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.