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The overall structure of our proposed CTGAN is illustrated below We focus more on the design of the feature extractor and processing of the sequential features This is an exact mirror of the CTGAN project, hosted at —s: github com sdv-dev CTGAN SourceForge is not affiliated with CTGAN For more information, see the SourceForge Open Source Mirror Directory Download Latest Versionv0 10 2 - 2024-10-22 source code zip (1 5 MB) Get Updates Home v0 10 0 Name Modified Size InfoDownloads Week Parent — cve org CVERecordCurrently, this library implements the CTGAN and TVAE models described in the Modeling Tabular data using Conditional GAN paper, presented at the 2019 NeurIPS conference For guidelines on how to manage the changes required for this vulnerability and more information on the phased rollout, see How to manage the changes in Netlogon secure channel connections associated with CVE-2020-1472 (updated September 28, 2020) — scyscan com microsoft-netlogon-privilege-escalation-vulnerabilitylinux oracle com cve CVE-2020-1472 htmlcvefeed io vuln detail CVE-2020-1472nvd nist gov vuln detail CVE-2020-1472This release makes CTGAN sampling more efficient by saving the frequency of each categorical value New Features Improve DataSampler efficiency - Issue #327 by fealhoOct 22, 2024 · In this release we introduce several minor improvements to make CTGAN more versatile and propertly support new types of data, such as categorical NaN values, as well as conditional sampling and features to save and load models For guidelines on how to manage the changes required for this vulnerability and more information on the phased rollout, see How to manage the changes in Netlogon secure channel connections associated with CVE-2020-1472 (updated September 28, 2020) ctgan Releases 0 10 1 May 13th, 2024 15:38 Browse source on GitHub View diff between 0 10 1 and 0 10 0 0 10 1 dev0 May 10th, 2024 18:53 0 10 0 April 11th, 2024 20:24 Browse source on GitHub View diff between 0 10 0 and 0 9 1 0 10 0 dev0 April 10th, 2024 22:52 0 9 1 March 14th, 2024 15:03 Browse source on GitHub View diff between 0 9 1 and 0 9 0 For guidelines on how to manage the changes required for this vulnerability and more information on the phased rollout, see How to manage the changes in Netlogon secure channel connections associated with CVE-2020-1472 (updated September 28, 2020) You can create a release to package software, along with release notes and links to binary files, for other people to use Learn more about releases in our docs The Cybersecurity and Infrastructure Security Agency (CISA) has released Emergency Directive (ED) 20-04 addressing a critical vulnerability— CVE-2020-1472—affecting Microsoft Windows Netlogon Remote Protocol — cvedetails com cve CVE-2020-1472— cisa gov cisa-releases-emergency-directive-microsoft-windows-netlogon — tenable com cve CVE-2020-1472For guidelines on how to manage the changes required for this vulnerability and more information on the phased rollout, see How to manage the changes in Netlogon secure channel connections associated with CVE-2020-1472 (updated September 28, 2020) CVE-2020-1472: ‘Zerologon’ Vulnerability in Netlogon Could Allow Attackers to Hijack Windows Domain Controller Published: 2020-09-14 Security researchers reveal how the cryptographic authentication scheme in Netlogon can be exploited to take control of a Windows domain controller (DC) app opencve io cve CVE-2020-1472Aug 13, 2024 · Traditional GAN architectures struggle to capture these intricacies, leading to poor performance when applied directly to tabular data CTGAN addresses these challenges by introducing a specialized framework for generating realistic synthetic tabular data An elevation of privilege vulnerability exists when an attacker establishes a vulnerable Netlogon secure channel connection to a domain controller, using the Netlogon Remote Protocol (MS-NRPC), aka ‘Netlogon Elevation of Privilege Vulnerability’ See more information about CVE-2020-1472 from MITRE CVE dictionary and NIST NVD The CTGAN model generates synthetic tabular images to enhance dataset diversity This enriched data trains the TATR model for table detection and structure recognition Reference CISA’s ED 20-04 (—s: — cisa gov news-events directives ed-20-04-mitigate-netlogon-elevation-privilege-vulnerability-august-2020-patch-tuesday) for further guidance and requirements Note: The due date for addressing this vulnerability aligns with the requirements outlined in ED 20-04 —s: nvd nist gov vuln detail CVE-2020-1472For guidelines on how to manage the changes required for this vulnerability and more information on the phased rollout, see How to manage the changes in Netlogon secure channel connections associated with CVE-2020-1472 (updated September 28, 2020) For guidelines on how to manage the changes required for this vulnerability and more information on the phased rollout, see How to manage the changes in Netlogon secure channel connections associated with CVE-2020-1472 (updated September 28, 2020) avd aquasec com nvd 2020 cve-2020-1472Oct 30, 2025 · Download CTGAN for free Conditional GAN for generating synthetic tabular data CTGAN is a collection of Deep Learning based synthetic data generators for single table data, which are able to learn from real data and generate synthetic data with high fidelity
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