ICLR 2020，Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks - 代码天地

ICLR 2020，Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

企业开发 2023-04-10 06:58:57 阅读次数: 0

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转载自blog.csdn.net/weixin_41504611/article/details/129499602

ICLR 2020，Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks

Nesterov Accelerated Gradient

深度学习优化函数详解（5）-- Nesterov accelerated gradient (NAG)

深度学习优化算法——彻底搞懂Nesterov accelerated gradient (NAG)

入门神经网络优化算法（一）：Gradient Desend，Momentum，Nesterov accelerated gradient

深度学习优化函数详解（5）-- Nesterov accelerated gradient (NAG) 优化算法

比Momentum更快：揭开Nesterov Accelerated Gradient的真面目NAG 梯度下降

APG(Accelerate Proximal Gradient)加速近端梯度算法和 NAG(Nesterov accelerated gradient)优化器原理 (二)

APG(Accelerate Proximal Gradient)加速近端梯度算法和 NAG(Nesterov accelerated gradient)优化器原理 (一)

adversarial Learning and attacks 学习笔记

【学习】adversarial attack、evasion attacks

Face Paper：An Analysis of Scale Invariance in Object Detection

An Analysis of Scale Invariance in Object Detection – SNIP解读

An Analysis of Scale Invariance in Object Detection – SNIP

【随记】Adversarial Attacks on Neural Networks for Graph Data

【学习】backdoor attacks、Adversarial Attack on Images、Adversarial Attack on Audio

[CVPR2018] An Analysis of Scale Invariance in Object Detection – SNIP

目标检测中的尺度--An Analysis of Scale Invariance in Object Detection – SNIP

论文解读——An Analysis of Scale Invariance in Object Detection – SNIP

[论文理解] An Analysis of Scale Invariance in Object Detection – SNIP

论文阅读 (87)：Accelerated Proximal Gradient Methods for Nonconvex Programming

标度不变性（scale invariance）与无标度（scale-free）概念辨析

读书笔记17：Adversarial Attacks on Neural Networks for Graph Data

Threat of Adversarial Attacks on Deep Learning in Computer Vision A Survey

[论文解读]Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

Simple Black-box Adversarial Attacks【简易的黑盒对抗攻击】

《Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity》论文解读

Deformable DETR（2020 ICLR）

ICLR 2023：基于 diffusion adversarial representation learning 的血管分割

论文理解《Stacked Pooling: Improving Crowd Counting by Boosting Scale Invariance》

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