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讀書筆記17:Adversarial Attacks on Neural Networks for Graph Data
時間 2021-01-02
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原文鏈接
https://arxiv.org/pdf/1805.07984.pdf 看過之後有一個思考,adversarial attack的目標是事先選定一個class,然後選擇攻擊方式,儘可能使得模型把樣本分類成這個類別,並且class probability和原class的probability拉開差距,但是可不可以將目標設定爲最小化原分類class的probability,也就是隻將目標定位爲使ta
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相關文章
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Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering讀書筆記
2.
cousera「Neural NetWorks and Deep learning"讀書筆記
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