Abstract: In the hard-label black-box setting, existing attack methods randomly select words for perturbation, generating invalid word replacement operations, resulting in low attack success rate.

Abstract: Multilabel adversarial examples have become a threat to deep neural network models (DNNs). Most of the current work on multilabel adversarial examples are focused on white-box environments.

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When I try to add multiple input_boxes to a single frame using add_inputs_to_inference_session, without specifying input_labels, I get the following error: RuntimeError: Sizes of tensors must match ...

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