Adversarial input detection and purification (AIDAP) preprocessor and deep learning
computer model mechanisms are provided. The deep learning computer model receives …

Techniques for masking images based on a particular task are described. A system masks
portions of an image that are not relevant to a particular task, thus, reducing the amount of …

A method for identifying adversarial attacks on an image based detection system for
automated driving includes pro viding a reference signal and a potentially manipulated …

One or more computer processors determine a tolerance value, and a norm value
associated with an untrusted model and an adversarial training method. The one or more …

An illustrative embodiment includes a method for protecting a machine learning model. The
method includes: determining concept-level interpretability of respective units within the …

Calls received by a data center that are associated with a request are monitored. Features
are subsequently extracted from the monitored calls so that a machine learning model may …

Techniques are disclosed for detecting adversarial attacks. A machine learning (ML) system
processes the input into and output of a ML model using an adversarial detection module …

US20230049729A1 - Methods and systems for image processing using a learning engine -
Google Patents US20230049729A1 - Methods and systems for image processing using a …

Techniques for masking images based on a particular task are described. A system masks
portions of an image that are not relevant to a particular task, thus, reducing the amount of …

As described herein, a system, method, and computer program are provided for context-
based data-driven classification. Input to be processed using a classifier is identified. Data is …