Search Results for author:
Found 2 papers, 0 papers with code
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning
The widespread adoption of machine learning (ML) across various industries has raised sustainability concerns due to its substantial energy usage and carbon emissions.
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System
This paper presents the design of a label flipping data poisoning attack for a HAR system, where the label of a sensor reading is maliciously changed in the data collection phase.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
