2 papers
cs.LG2023
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning
Prathyusha Devabhakthini, Sasmita Parida, Raj Mani Shukla +2
Adversarial attacks are a type of attack on machine learning models where an attacker deliberately modifies the inputs to cause the model to make incorrect predictions. Adversarial…
eess.IV2023
A Deep Learning-based Compression and Classification Technique for Whole Slide Histopathology Images
Agnes Barsi, Suvendu Chandan Nayak, Sasmita Parida +1
This paper presents an autoencoder-based neural network architecture to compress histopathological images while retaining the denser and more meaningful representation of the origi…