Data poisoning in health care AI: security framework and defense strategies
The InnoTep group has published in the Journal of Medical Internet Research (JMIR) the paper Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies, which analyses data poisoning vulnerabilities across the main health care AI architectures and proposes defense strategies.
Authors: Farhad Abtahi, Fernando Seoane, Iván Pau and Mario Vega-Barbas.