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Hardware Accelerator for Adversarial Attacks on Deep Learning Neural Networks (arxiv.org)
48 points by godelmachine on Aug 9, 2020 | hide | past | favorite | 5 comments


You can attack deep learning networks?


Yes: you can (for example) confuse a vision algorithm into thinking an image of a turtle is a rifle https://mashable.com/2017/11/02/mit-researchers-fool-google-...


Yeah, many ways. Besides what the article describes there are at least 5-10 known attacks at the moment.


By “attack” the authors mean figuring out ways to trick the network into classifying things incorrectly. For example, you might attack a network that recognizes faces by determining certain inputs that still are recognizable as faces to a human, but not to the network.


A practical example of this is getting ads in banned ad categories (drugs, sex, etc.) around google or facebooks ad filters




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