Dell & Products L.p.

Adriana Bechara Prado

Isabella Costa Maia

Iam Palatnik De Sousa

Karen Stéfany Martins

Alexander Eulalio Robles Robles

Eduarda Tatiane Chagas

Saliency heatmap generation is disclosed. A mask that corresponds to an image is iteratively passed through a model. At each iteration, the output mask is optimized via gradient descent to gradually turn off one or more pixels. The output mask is iteratively passed in order to minimize contributions of pixels and to maximize a class prediction. After generating a final output mask, a saliency heatmap is generated.

Detailed perturbative heatmap explanations

One example method may be performed in a distributed environment that includes a group of nodes configured to communicate with each other, and to communicate with a central node of the distributed environment. The example method includes performing, by two or more of the nodes, the operations of generating a public/private key pair, generating a secret shared key using the respective public keys of the other nodes, using the secret shared key to generate isometric transformations of data of the node, and transmitting the transformed data to the central node.

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Niterói, Brazil

Adriana Bechara Prado