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 ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Method overloading in TypeScript allows a class, interface, or namespace to define multiple methods with the same name but different parameter lists or types, enabling reuse of the method name for ...
String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...
During the Civil War, both sides used firing squads to kill deserting soldiers. Today, people on death row can choose to die that way in some states. By Jacey Fortin On Friday, for the second time in ...
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 ...
In 2007, the first global Forum on Food Sovereignty defined the concept as “the right of peoples to healthy, culturally appropriate food produced through ecologically sound and sustainable methods, ...
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