CNN Model Visualization Method for SAR Image Target Classification

CNN Model Visualization Method for SAR Image Target Classification

Click the blue“Radar Journal”to follow Video playback address on computer (Radar Journal Bilibili Learning Platform): Short Video of the Paper | CNN Model Visualization Method for SAR Image Target Classification Background Introduction Deep neural network models represented by convolutional neural networks (CNN) are widely used in the task of target classification in synthetic aperture radar … Read more

Implementing Adversarial Images and Attacks with Keras and TensorFlow

Implementing Adversarial Images and Attacks with Keras and TensorFlow

Author: Adrian Rosebrock Translated by: Wu Zhendong Proofread by: Zhang Damin This article is about 8000 words, and it is recommended to read for 10+minutes. This article will tell you how to use image-based adversarial attacks to disrupt deep learning models, leveraging the Keras and TensorFlow deep learning libraries to implement your own adversarial attacks.[ … Read more

Unexpected Weaknesses in Neural Network Visual Classification Algorithms

200,000, this is the total number of users New Intelligence has reached today. On the journey to an intelligent universe, we thank every friend who travels with New Intelligence. Your attention and support is the inexhaustible fuel for the “New Intelligence” starship. 200,000, every passenger is invaluable to us. We hope to deepen our understanding … Read more

Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors

Reference Cohen G, Sapiro G, Giryes R. Detecting adversarial samples using influence functions and nearest neighbors[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 14453-14462. Abstract Deep neural networks are notorious for being vulnerable to adversarial attacks, which involve adding small perturbations to input images to mislead their predictions. Therefore, detecting adversarial … Read more