参照:https://docs.microsoft.com/zh-cn/windows-hardware/drivers/download-the-wdk
Cloudflare总部位于美国,是一家网络基础设施安全公司,提供基础网络设施搭建和DDoS拦截服务。11月15日消息,Cloudflare侦测到了史上最大流量的DDoS攻击,峰值接近每秒 2 Tbps。
Linux下有whois命令可以帮助我们快速的查看IP/域名的whois信息,原先我一直以为这个命令是通过http接口来查询whois,然后注册商提供这个API接口…知道今天抓了一个包才发现一个完全不知道的协议—-“whois协议”
写在前面 不要问我为啥5.7的活动我现在才发推文,问就是拖拖拖拖拖拖延,我原计划打算把王老师的这篇论文分享一下,但由于自己水平有限加上时间紧,最后终于在6.1把这篇发了出来。
https://www.owasp.org/index.php/Information_Leakage
这篇文章中说到坏男孩博客一直在使用CloudFlare提供SSL服务和防火墙服务。SSL并没有什么好说的,今天简单介绍一下我是如何写Cloudflare中的防火墙规则。
Previously we looked at how the kernel manages virtual memory for a user process, but files and I/O were left out. This post covers the important and often misunderstood relationship between files and memory and its consequences for performance.
今年是我做软件测试的第7个年头了,当年我从软件开发转做软件测试的时候,没有想过我能在这个领域做这么久。 在这7年里面,我在软件测试领域摸爬滚打,从自动测试起步,逐步接触到软件测试的各个领域:各种测试方
Reinforcement Learning (RL) has seen a rejuvenation of research interest recently due to repeated successes in solving challenging problems such as reaching human-level play on Atari 2600 games, beating the world champion in the game of Go, and playing competitive 5-player DOTA. The earliest of these successes leveraged experience replay for data efficiency and stacked a fixed number of consecutive frames to overcome the partial observability in Atari 2600 games. However, with progress towards increasingly difficult, partially observable domains, the need for more advanced memory-based representations increases, necessitating more principled solutions such as recurrent neural networks (RNNs). The use of LSTMs within RL has been widely adopted to overcome partial observability.
https://github.com/DimaKrotov/Dense_Associative_Memory/blob/master/Dense_Associative_Memory_training.ipynb
斯坦福大学Satija lab的 Seurat v3.1 guidline于近日更新啦!其中包括许多个性化的模块,其中我个人比较感兴趣的是Cell-Cycle Scoring and Regression模块,因为在条件干预的情况下,部分细胞处于非稳定状态下,如增殖类细胞出现由于细胞周期相关基因的不同导致细胞聚类发生一定的偏移。
此教程展示了如何通过基于传统细胞周期相关marker计算细胞周期得分,并在预处理过程中将这些分数从数据中回归,以消除 scRNA-seq 数据中细胞周期异质性的影响。我们在小鼠造血祖细胞数据集上证明了这一点。您可以在此处[1]下载运行此教程所需的文件。
【导读】CVPR 2019 接收论文列表已经出来了,但只是一些索引号,所以并没有完整的论文合集。CVer 最近也在整理收集,今天一文涵盖10篇 CVPR 2019 论文速递,内容涵盖全景分割、实例分割和姿态估计等方向。
September of 2005, Microsoft unleashed Windows Workflow Foundation (Windows WF) at its semi-annual Professional Developer's Conference. As one of the pillars of the WinFX APIs, Windows WF provides developers with a common framework on which to develop proc
https://www.technewsworld.com/story/86843.html
Seurat软件学习1-多个模型得数据进行整合:https://cloud.tencent.com/developer/article/2130078
Biometric authentication is certainly starting to get the attention of the general public. Announcements like the revelation this past fall that over 1 billion stolen passwords had been amassed by a Russian crime ring underscore the fact that the current security systems are flawed, and that new approaches to security are necessary. There is a growing consensus in government and industry (and often confirmed in Hollywood) that biometric approaches are the best path forward. The push by Apple and Samsung to make fingerprint authentication available in their devices is among the most visible applications of biometrics.
以前SSL检测常用工具就是ssllabs的:https://www.ssllabs.com/ssltest/ 以及国内的https://myssl.com/.
Ambient is a new data-plane model that Istio has just announced support for. In this post, we will try to install Istio’s ambient model and use the bookinfo demo to experience the L4 and L7 capabilities offered by ambient.
上一篇文章中,我们聊了下Caffeine的同步、异步的数据回源方式。本篇文章我们再一起研讨下Caffeine的多种不同的数据淘汰驱逐机制,以及对应的实际使用。
The repo also follows from this journal paper (Neuromorphic Computing and Engineering 2022), which has been selected as one of the journal's top papers for 2022.
本文介绍了机器学习中的各种嵌入技术,包括低维嵌入、高维嵌入、流嵌入、局部嵌入和全局嵌入。此外,还介绍了这些嵌入技术的优缺点以及应用场景。同时,文章还探讨了如何将嵌入技术应用于实际场景中,如社交网络分析和图像处理等。
发现这个img标签的src的值有点特别,对其进行base64解码,得到图片名称bottleneck_dontbe.png
【1】 The Ecological System of Innovation: A New Architectural Framework for a Functional Evidence-Based Platform for Science and Innovation Policy 标题:创新生态系统:基于证据的功能性科学与创新政策平台的新架构框架
转载请注明出处。请前往 Tiga on Tech 查看原文以及更多有趣的技术文章。
本文精选了上周(0605-0611)最新发布的19篇推荐系统相关论文,主要研究方向包括对话推荐系统、公平性推荐、大型语言模型赋能推荐系统、图推荐系统、多模态推荐系统等。
【1】 Learning Language-Conditioned Robot Behavior from Offline Data and Crowd-Sourced Annotation 标题:从离线数据和众包注释中学习受语言制约的机器人行为 链接:https://arxiv.org/abs/2109.01115
【1】 Learning Interaction-aware Guidance Policies for Motion Planning in Dense Traffic Scenarios 标题:密集交通场景下运动规划的学习交互感知诱导策略
动态化是 Flutter 无法避开的话题。本文从 Flutter 的特点讲起, 阐述了美团外卖团队在整个 Flutter 动态化上探索的心路历程,还有设计理念、核心原理以及业务应用的经验。本文的视角也不局限于框架本身,更多思考了在解决问题的过程中技术团队需要做的事情,希望能对大家有所启发和帮助。
q-fin金融,共计5篇 cs.SD语音,共计6篇 eess.AS音频处理,共计7篇 1.q-fin金融: 【1】 Can Air Pollution Save Lives? Air Quality
Computer programs are all about working with data. In past chapters, we have focused onprocessing data at the file level. However, many programming problems need to besolved using smaller units of data such as strings and numbers.
本节主要介绍当拿下一台机器后,应该做的一些信息收集,尽可能的收集密码,去尝试其他机器。
最后一个脚本是执行另一个脚本:kafka-run-class.sh,这个脚本的内容比较复杂了。
【1】 Compositional Active Inference I: Bayesian Lenses. Statistical Games 标题:成分主动推理I:贝叶斯透镜。统计博弈 链接:https://arxiv.org/abs/2109.04461
无论是渗透测试,还是红蓝对抗,目的都是暴露风险,促进提升安全水平。企业往往在外网布置重兵把守,而内网防护相对来说千疮百孔,所以渗透高手往往通过攻击员工电脑、外网服务、职场WiFi等方式进入内网,然后发起内网渗透。而国内外红蓝对抗服务和开源攻击工具大多数以攻击Windows域为主,主要原因是域控拥有上帝能力,可以控制域内所有员工电脑,进而利用员工的合法权限获取目标权限和数据,达成渗透目的。
【1】 Dependent Bayesian nonparametric modeling of compositional data using random Bernstein polynomials 标题:基于随机Bernstein多项式的成分数据依赖贝叶斯非参数建模 链接:https://arxiv.org/abs/2108.13403
【1】 LPRules: Rule Induction in Knowledge Graphs Using Linear Programming 标题:LPRules:基于线性规划的知识图规则归纳 链接:https://arxiv.org/abs/2110.08245
【1】 ViTGAN: Training GANs with Vision Transformers 标题:ViTGAN:用视觉Transformer训练Gan
【1】 fGOT: Graph Distances based on Filters and Optimal Transport 标题:fGOT:基于滤波器和最优传输的图距离 链接:https://arxiv.org/abs/2109.04442
【1】 SPAN: Subgraph Prediction Attention Network for Dynamic Graphs 标题:SPAN:动态图的子图预测注意网络 链接:https://arxiv.org/abs/2108.07776
【1】 Long Short-Term Transformer for Online Action Detection 标题:用于在线动作检测的长短期Transformer
【1】 StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data 标题:StreaMulT:面向异构任意长序列数据的流式多模式转换器 链接:https://arxiv.org/abs/2110.08021
【1】 Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability 标题:通过自然语言可满足性突破Transformer规则推理的极限 链接:https://arxiv.org/abs/2112.09054
【1】 Video Swin Transformer 标题:视频双Transformer
【1】 Trans4E: Link Prediction on Scholarly Knowledge Graphs 标题:Trans4E:学术知识图上的链接预测
【1】 Graph-based Deep Generative Modelling for Document Layout Generation 标题:基于图的文档版面生成的深度生成建模
【1】 Efficient Visual Tracking with Exemplar Transformers 标题:利用样本变换器实现高效的视觉跟踪 链接:https://arxiv.org/abs/2112.09686
【1】 Model Stealing Attacks Against Inductive Graph Neural Networks 标题:针对归纳图神经网络的模型窃取攻击 链接:https://arxiv.org/abs/2112.08331
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