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论文阅读笔记2——Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
论文标题 xff1a Evading Defenses to Transferable Adversarial Examples by Translation Invariant Attacks 论文链接 xff1a https arxiv
Evading
Defenses
Transferable
Adversarial
Examples
【恶软】【对抗】【攻】Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables
作者是Bojan Kolosnjaji Ambra Demontis等 2018年发表在European Signal Processing Conference 一 主要内容 xff1a 在本文中 xff0c 我们调查了使用深层网络从原始
Adversarial
malware
Binaries
Evading
Deep