A Survey on Transferability of Adversarial Examples across Deep Neural Networksarxiv.org/abs/2310.17626 摘要 深度神经网络(DNN)的出现彻底改变了各个领域,使图像识别、自然语言处理和科学问题解决等复杂任务的解决成为可能。然而,这一进展也暴露了一个令人担忧的脆弱性:对抗性示例。这些精心制作的输入,人类无法...
Improving Transferability of Adversarial Examples with Input Diversity (阅读笔记) Yuhhw 8 人赞同了该文章 Abstract 尽管CNN在各种视觉任务上都取得了顶尖的表现,但是他们对于对抗样本,却显得非常脆弱。但现有的大多数对抗样本攻击方法,在黑盒攻击设置下,只能实现较低成功率。此次分享介绍了如何通过输入多样性来提高对...
Improving Transferability of Adversarial Examples with Input Diversity 次数N: N提高迁移率提高,且MDII和DII之间的差距会缩小。 ③步长a:a减少迁移率提高。 5 讨论与总结 文章最后的讨论我贴在这里,大家可以看一看琢磨一下: 下面说出我自己的理解:迁移攻击说白了就是不同网络对数据集边界的曲线相似度。在文章[A...
有需要slides的朋友,可关注公众号“Donald Su”,回复“迁移性”进行获取。 文中的假设部分,暂时还没结论,感兴趣的同学可以探索下。 文中的方法来自于Nips17的defence比赛中,该团队先将把比赛策略写成的文章,投中了ICLR18,可以参考另一篇文章[读论文]-通过随机操作减缓对抗攻击的影响(Mitigating Adversarial Effects ...
We introduce a three stage pipeline: resized-diverse-inputs (RDIM), diversity-ensemble (DEM) and region fitting, that work together to generate transferable adversarial examples. We first explore the internal relationship between existing attacks, and propose RDIM that is capable of exploiting this ...
白盒攻击方面... Transferability of Adversarial Examples With Input Diversity》。算法的基本思路是在每次迭代时对图片进行一些小变换。我们在原文变换基础上加多智能推荐robotframework自动化测试框架日志输入乱码解决方法【多测师_王sir】 修改完之后显示如下图: ...使用bootstrap实现左侧菜单栏,右侧其他页面 在...
This paper proposed to improve the transferability of adversarial examples by creating diverse input patterns (https://arxiv.org/abs/1803.06978). Instead of only using the original images to generate adversarial examples, the proposed method, Diverse Input Iterative Fast Gradient Sign Method (DI2-FGS...
A Survey on Transferability of Adversarial Examples across Deep Neural Networks. Jindong Gu, Xiaojun Jia, Pau de Jorge, Wenqain Yu, Xinwei Liu, Avery Ma, Yuan Xun, Anjun Hu, Ashkan Khakzar, Zhijiang Li, Xiaochun Cao, Philip Torr. Preprint 2023. [pdf] If you find our paper and repo...
However, most of the existing adversarial attacks only achieve relatively low success rates under the challenging black-box setting, where the attackers have no knowledge of the model structure and parameters. To this end, we propose to improve the transferability of adversarial examples by creating ...
使用ChatPaper初步总结鲁棒性相关论文,总的汇总链接如下,AI总结可能有错误,大家谨慎食用。 德布罗意的啵啵:2023年顶会对抗鲁棒性相关论文整理29 赞同 · 0 评论文章 StyLess: Boosting the Transferability of Adversarial Examples github: github.com/uhiu/StyLess...