Recovery-based black box detection of ai-generated content for medical decision making
AssigneeNEC Laboratories America, Inc.
InventorsYiyou Sun, Wei Cheng, Haifeng Chen
Life of this patent
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Abstract
Methods and systems include fine-tuning a surrogate model, using example images generated by a target model, to match a distribution of the target model. A new image is masked to generate a masked image. A recovered image is generated that fills in a masked region of the masked image using the surrogate model. The recovered image is compared to the new image to determine that the new image was generated by the target model. An action is performed responsive to the determination that the new image was generated by the target model.
Claims20
A computer-implemented method, comprising:
- fine-tuning a surrogate model, using example images generated by a target model, to match a distribution of the target model;
- masking a new image to generate a masked image;
- generating a recovered image that fills in a masked region of the masked image using the surrogate model;
- comparing the recovered image to the new image to determine that the new image was generated by the target model;
- and
- performing an action responsive to the determination that the new image was generated by the target model.
A system, comprising:
- a hardware processor;
- and
- a memory that stores a computer program which, when executed by the hardware processor, causes the hardware processor to:
- fine-tune a surrogate model, using example images generated by a target model, to match a distribution of the target model;
- mask a new image to generate a masked image;
- generate a recovered image that fills in a masked region of the masked image using the surrogate model;
- compare the recovered image to the new image to determine that the new image was generated by the target model;
- and
- perform an action responsive to the determination that the new image was generated by the target model.
Dependencies are inferred from the claim text.