Invention Grant
- Patent Title: Adversarial input generation using variational autoencoder
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Application No.: US16354984Application Date: 2019-03-15
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Publication No.: US11715016B2Publication Date: 2023-08-01
- Inventor: Akifumi Wachi
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Randy Emilio Tejeda
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06N3/088 ; G06N3/045

Abstract:
A computer-implemented method, computer program product, and computer processing system are provided for generating an adversarial input. The method includes reducing, by a Conditional Variational Encoder, a dimensionality of each of inputs to a target algorithm to obtain a set of latent variables. The method further includes separately training, by a processor, (i) a successful predictor with a first subset of the latent variables as a first input for which the target algorithm succeeds and (ii) an unsuccessful predictor with a second subset of the latent variables as a second input for which the target algorithm fails. Both the successful and the unsuccessful predictors predict outputs of the target algorithm. The method also includes sampling, by the processor, an input that is likely to make the target algorithm fail as the adversarial input by using a likelihood of the successful predictor and the unsuccessful predictor.
Public/Granted literature
- US20200293901A1 ADVERSARIAL INPUT GENERATION USING VARIATIONAL AUTOENCODER Public/Granted day:2020-09-17
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