ZiangYan/deepdefense.pytorch

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Python
Created about 6 years ago
Updated over 5 years ago

ZiangYan/deepdefense.pytorch

ZiangYan

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Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness

taobao_image_search

淘宝拍照找同款数据爬虫

pda.pytorch

Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.

subspace-attack.pytorch

Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

learn-new-tools

amm.pytorch

Implementation of our T-PAMI 2019 paper: Adversarial Margin Maximization Networks