Deep Neural Networks for Enhancing Robustness in Facial Authentication and Deepfake Detection for Driven Data Poisoning Attacks and Defense Strategies
This research combines two crucial works aimed at enhancing the robustness of deep neural networks (DNNs) against emerging attacks. In a model or training data extraction attack, an attacker analyzes the input, output, and other external information of a system to speculate on the parameters or training data of the mod...