Vade Secure Inc.

Vade USA, Incorporated

Maxime Marc Meyer

Sebastien Goutal

Sébastien Goutal

Mehdi Regina

A computer-implemented method of detecting logos in a graphical rendering may comprise detecting, using a first and a second trained object detector, logos in the graphical rendering and outputting a first and a second list of detections and filtering, using at least a first and a second prior performance-based filter, the received first and second lists of detections into a first group of kept detections, a second group of discarded detections and a third group of detections. Detections in the third group of detections may be clustered in at least one cluster comprising detections that are of a same class and that are generally co-located within the electronic image. A cluster score may then be assigned to each cluster. A set of detections of logos in the graphical rendering may then be output, the set comprising the detections in the first group and a detection from each of the clusters whose assigned cluster score is greater than a respective threshold.

Methods, devices and systems for combining object detection models

A computer-implemented method may comprise collecting and storing a plurality of electronic messages and a corresponding plurality of phishing kits, each of which being associated with one or several malicious Uniform Resource Locator (URL) and extracting a set of features from each of the plurality of electronic messages. For each of the extracted set of features, the method may comprise determining a set of optimal scanning parameters using one or more decision trees, trained with a supervised learning algorithm based on programmatically or manually examining or reverse-engineering the source code of the phishing kits, or trained with a supervised learning algorithm based on a function that iteratively requests data from the websites pointed to by the malicious URLs and examines data and codes returned by such requests. These optimal scanning parameters may then be used to scan a malicious URL with a reduced likelihood that a defensive action will be taken to hide the existence of the malicious content pointed to by the malicious URL.

Optimal scanning parameters computation methods, devices and systems for malicious URL detection

A computer-implemented method of generating an augmented electronic text document comprises establishing a directed multigraph where each vertex is associated with a separate language and is connected to at least one other one of the vertices by an oriented edge indicative of a machine translation engine's ability to translate between languages associated with the vertices connected by the oriented edge with acceptable performance. The directed multigraph is then traversed starting at a predetermined origin vertex associated with an original language of the original electronic text document by randomly selecting an adjacent vertex pointed to by an oriented edge connected to the predetermined origin vertex and causing a machine translation engine to translate the original electronic text document from the original language to a language associated with the selected vertex. The directed multigraph is then further traversed as allowed by the oriented edges from the intermediate vertex to successive other next-adjacent connected vertices, each time machine translating a previously-translated electronic text document into a language associated with a randomly-selected next-adjacent vertex until the predetermined origin vertex is selected and the previously translated electronic text document is re-translated into the original language and designated as the augmented electronic text document.

Growing community of inventors

Montreal, Canada

Maxime Marc Meyer