Marco Romanelli
Marco Romanelli
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Our new paper MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors , which sets up a new evaluation framework for adversarial example detection mechanisms, has been accepted to appear at ECMLPKDD 2022.
Sep 18, 2022
I am excited to start a new position as Research Associate at NYU Tandon School of Engineering: Electrical and Computer Engineering.
Sep 16, 2022
I have been awarded the 2021 UFI/UIF Vinci best thesis award.
Oct 10, 2021
Our recent paper DOCTOR: A Simple Method for Detecting Misclassification Errors has been accepted as a spotlight presentation @ NeurIPS 2021. A huge congrats to my main coauthors: Pablo Piantanida who brilliantly supervised the project from the very beginning to the end, and Federica Granese whom I have been collaborating with since the beginning of my postdoc.
Sep 28, 2021
My Ph.D. thesis is online.
Feb 19, 2021
On November 11th, 2020 I will present the work Estimating g-Leakage via Machine Learning @ ACM CCS 2020. Stay tuned!
Nov 6, 2020
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