Vincenzo di Cicco
Software Engineering. Machine Learning. Web Security. Somewhere in a differentiable loss landscape.
about
posts
research
projects
about
Hi, my name is Vincenzo di Cicco a.k.a
0xNaN.
My interests range from pure
Software Development
to
Web Security
, from
Machine Learning
to Data Science.
Currently
I'm in Rome, pursuing a research grant about Machine Learning at
Roma3 University.
posts
no posts yet ¯\_(ツ)_/¯
research and activities
Ranked 3rd
in the
comma.ai CTF
Most Innovative award
in the
Twitter's Machine Learning Algorithmic Bias Bounty Challenge
[code]
CVE-2021-22540 - XSS vulnerability in dart:html
CVE-2020-8923 - XSS vulnerability in dart:html
Interpreting deep learning models for entity resolution: an experience report using LIME.
Vincenzo Di Cicco, Donatella Firmani, Nick Koudas, Paolo Merialdo, Divesh Srivastava. In Proceedings of aiDM@SIGMOD 2019: 8:1-8:4
projects and contributions
Tiny gradcheck @geohot/tinygrad
Carbonara Extractor - Product specifications extractor driven by a DOM Classifier.
Mojito - Interpreting deep learning models for entity resolution.
Cwatch - A lightweight filesystem monitor able to trigger user-defined commands.
Mob - A PoC of a decentralized and fault-tolerant network for the deployment and scaling of services based on Kademlia.
Kademlia - an old and incomplete implementation of the Kademlia DHT in Erlang.
other links
Google Bughunter Hall of Fame
Hackerone profile