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A new method to steer AI output uncovers vulnerabilities and potential improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...
IEEE

An Efficient Method for Generating Adversarial Examples within Consumer Electronics

Abstract: Adversarial examples threaten the stability of Generative AI (GAI) in consumer electronics (CE), but existing attack strategies either rely solely on gradient information—yielding ...
GitHub

Databricks SDK for Python (Beta)

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.
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Training methods used in classes to improve smiling and confidence

I examine training methods used in classes to improve smiling and confidence. Donald Trump reacts as Clintons set to testify on Epstein The former Prince Andrew moves to King Charles III's private ...
GitHub

PyLFG - A Python package for parsing sentences using Lexical Functional Grammar (LFG)

PyLFG (Python Library for Lexical Functional Grammar) is a new open-source project that aims to provide a comprehensive set of tools for working within the Lexical Functional Grammar (LFG) formalism, ...
IEEE

Dual-Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks

Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...