The lightweight Mikado method opens up a structured way to make significant changes even to complex legacy code.
Abstract: Adversarial examples (AEs) are typical model evasion attacks and security threats in deep neural networks (DNNs). One of the countermeasures is adversarial training (AT), and it trains DNNs ...
The Table API enables a programmatic way of developing, testing, and submitting Flink pipelines for processing data streams. Streams can be finite or infinite, with insert-only or changelog data. The ...
Community driven content discussing all aspects of software development from DevOps to design patterns. To help demystify the most complicated of these, let’s look at a few different JOptionPane ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
The Databricks SDK for Java includes functionality to accelerate development with Java for the Databricks Lakehouse. It covers all public Databricks REST API operations. The SDK's internal HTTP client ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Here are the most important concepts developers must know when they size Java arrays and deal ...
ABSTRACT: Microservices have revolutionized traditional software architecture. While monolithic designs continue to be common, particularly in legacy applications, there is a growing trend towards the ...
A new JavaScript obfuscation method utilizing invisible Unicode characters to represent binary values is being actively abused in phishing attacks targeting affiliates of an American political action ...
A new approach to the local and global explanation based on selecting a convex hull constructed for the finite number of points around an explained instance is proposed. The convex hull allows us to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results