Editor’s note: This post and its research are the result of the collaborative efforts of a team of researchers comprising former Microsoft Research Engineer Hadi Salman(opens in new tab), CMU PhD ...

Large language models (LLMs) have become an integral part of various applications, but they remain vulnerable to exploitation. A key concern is the emergence of universal jailbreaks—prompting ...

Abstract: The article proposes a new method for teaching private classifiers, as well as a way to aggregate their forecasts as part of a committee. The training is based on the hypothesis of iterative ...

Researchers at Anthropic, the company behind the Claude AI assistant, have developed an approach they believe provides a practical, scalable method to make it harder for malicious actors to jailbreak ...

In the PyRBP, we integrate several machine learning classifiers from sklearn and implement several classical deep learning models for users to perform performance tests, for which we provide two ...

Abstract: The problem of PU Learning, i.e., learning classifiers with positive and unlabelled examples (but not negative examples), is very important in information retrieval and data mining. We ...