Microsoft Technology Licensing, LLC

Ricky Dee Loynd

Ram Shankar Siva Kumar

James David McCaffrey

William Pearce

Raja Sekhar Rao Dheekonda

Hyrum Spencer Anderson

Qiang Wu

David Mowatt

Philipp Heinz Schmid

Michael D Plumpe

Robert I Brown

Rachel Imogen Morton

Robert Edward Dewar

Techniques are described herein that are capable of detecting an algorithmic attack against a hosted artificial intelligence (AI) system based on inputs (e.g., queries) and outputs of the hosted AI system. In a first example, a feature-based classifier model is used to generate a classification score based on features that are derived from numerical representations of the queries and the outputs, and an algorithmic attack is detected based on the classification score being greater than or equal to a score threshold. In a second example, a transformer-based model is used to generate a vector by providing a multivariate time series, which is based on attribute(s) of the inputs and attribute(s) of the outputs, as an input to the transformer-based model, and an algorithmic attack is detected based on a distance between the vector and a point corresponding to a reference vector being less than or equal to a distance threshold.

Detecting an algorithmic attack against a hosted AI system based on inputs and outputs of the hosted AI system

Intelligent speech recognition is used to provide users with the ability to utter more user friendly commands. Satisfaction is increased when a user can vocalize a subset of a formal command name and still have the intended command identified and processed. Moreover, greater accuracy in identifying a command application from a user's utterance can be achieved by ignoring command choices associated with unlikely user utterances. An intelligent speech recognition system can identify differing acceptable verbal command phrase forms, e.g., but not limited to, complete commands, command subsequences and command subsets, for different commands supported by the system. Subset blocking words are identified for assistance in reducing the ambiguity in matching user verbal command phrases with valid commands supported by the intelligent speech recognition system.

Intelligent speech recognition of incomplete phrases

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Ricky Dee Loynd