设计了一种新的pruning-aware后门攻击,不像之前的攻击,该攻击确保干净的和带后门输入激活相同部分的神经元,从而使后门更难检测; 提出、实现和评估了fine-pruning防御方法(结合pruning和fine-tuning),它可以有效削弱或者消除后门攻击,在一些例子中可以实现攻击成功率为0%,而良性输入的准确率下降只有0.4%。 Introduction ...
【读书笔记】Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization 继续分享模型轻量化的文章,本文主要提出一种同时做fine-tuning和压缩预训练模型的方法。 本文主要的创新点如下: 1. Fine-pruning通过联合fine-tuning和压缩预训练网络来获得针对目标领域的轻量化网络...
transitory pruning 初步修剪 renewal pruning 更新修剪 相似单词 pruning n. 1.修剪;删除 2.(常复数)剪下的残枝 fine adj. 1. 美好的,优秀的,优良的,杰出的 2. 纤细的 3. 细致的;细微的 4. 晴朗的,无雨的 5. 健康的,舒适的 6. 过分夸饰的,炫耀的 7. 可怕的,糟透的 8. self pruning 自己...
"Liu, Kang, Brendan Dolan-Gavitt, and Siddharth Garg. "Fine-pruning: Defending against backdooring attacks on deep neural networks." Research in Attacks, Intrusions, and Defenses: 21st International Symposium, RAID 2018, Heraklion, Crete, Greece, September 10-12, 2018, Proceedings 21. Springer ...
K. Liu, B. Dolan-Gavitt, and S. Garg, "Fine-pruning: Defending against backdooring attacks on deep neural networks," in Proc. of RAID, 2018.Liu, K., Dolan-Gavitt, B., Garg, S.: Fine-pruning: Defending against backdooring attacks on deep neural networks. Lecture Notes in Computer ...
fine pruning 精剪相关短语 spring bed (剪毛机的) 弹性托板 keeping the centre of tree open (剪树) 使中间透光 snap shears (剪切钢材前端) 快速飞剪 相关阅读 便捷的介词用法大全 悲伤时你该说些什么 too和enough该怎么用 7招教你做好笔记 经验分享:你的四六级备考姿势对了吗? 常用英语 ...
Conventional NAS-based pruning algorithms aim to find the sub-network with the best validation performance. However, validation performance does not successfully represent test performance, i.e., potential performance. Also, although fine-tuning the pruned network to restore the performance drop is an...
We proposed a Prior Gradient Mask Guided Pruning-aware Fine-Tuning (PGMPF) framework to accelerate deep Convolutional Neural Networks (CNNs). In detail, the proposed PGMPF selectively suppresses the gradient of those ”unimportant” parameters via a prior gradient mask generated by the pruning ...
The old adage “Prune when the shears are sharp” is often followed by “and when the plant is sleeping.” While making a few minor cuts here and there at any time of year is fine, more major pruning needs to be timed according to a plant’s energy balance. ...
Computational Efficiency: Pruning unnecessary parameters leads to a smaller model footprint, which reduces computational and memory requirements during both training and inference. This makes the fine-tuning process more scalable and accessible, especially in resource-constrained environments. 3.3. Training ...