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Online First:2021-10,
Published:15 October 2021
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Yu ZHANG, Hailiang LI. RSA-based image recognizable adversarial attack method[J]. Chinese Journal of Network and Information Security, 2021, 7(5): 40-48.
Yu ZHANG, Hailiang LI. RSA-based image recognizable adversarial attack method[J]. Chinese Journal of Network and Information Security, 2021, 7(5): 40-48. DOI: 10.11959/j.issn.2096-109x.2021065.
基于密码学中的RSA签名方案与RSA加密方案,提出了一种能够让特定分类器输出对抗样本正确分类的对抗攻击方法。通过单像素攻击的思想使正常图像在嵌入附加信息的同时能够具有让其余分类器发生错误分类的能力。所提方法可以应用在分类器授权管理与在线图像防伪等领域。实验结果表明,所提方法生成的对抗样本对于人眼难以察觉,并能被特定分类器识别。
Adversarial attack is an important part of deep learning security research.Relying on the RSA signature schemes and RSA encryption schemes in cryptography
an adversarial attack method that adversarial examples can be recognized by a specific classifier is proposed.Through the idea of one pixel attack
the normal image can have the ability to make other classifier misclassify while embedding additional information.It can be used in classifier authorization management
online image anti-counterfeiting
etc.The experiment show that the adversarial examples can be recognized under the specific classifier
and the disturbance noise is difficult to detect by the human eye.
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