IEEE

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples

Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...
InfoWorld

9 reasons Java is still great

Java has endured radical transformations in the technology landscape and many threats to its prominence. What makes this ...

Java 26 with JVM optimizations, HTTP/3, and finally no Applet API

The current OpenJDK 26 is strategically important and not only brings exciting innovations but also eliminates legacy issues ...
IEEE

Reinforcing Adversarial Transferability via Negative Class Guided Example Generation

Abstract: Recent studies have revealed that Deep Neural Networks (DNNs) are highly vulnerable to adversarial examples, which are generated by introducing imperceptible perturbations to clean images, ...
GitHub

XAF - Create Custom Event and Resource Classes for XAF Scheduler

Use ApplicationUser as a resource. Create an event with a single resource. Implement a resource object. See the #region Resources section in the source code. Implement IRecurrentEvent. See the #region ...