
The carbon emissions of adversarial machine learning models are directly correlated with their robustness against attacks, highlighting the need to integrate environmental considerations into secure ML system design.


coremsg

quantifying-the-carbon-footprint-of-adversarial-machine-learning-balancing-robustness-and-sustainability


Quantifying the Carbon Footprint of Adversarial Machine Learning: Balancing Robustness and Sustainability
