News

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.

I am excited to start a new position as Research Associate at NYU Tandon School of Engineering: Electrical and Computer Engineering.

I have been awarded the 2021 UFI/UIF Vinci best thesis award.

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.

My Ph.D. thesis is online.

On November 11th, 2020 I will present the work Estimating g-Leakage via Machine Learning @ ACM CCS 2020. Stay tuned!