Adversarial attack - machine learning technique that attempts to fool models by supplying deceptive input. Article "Adversarial Attack" in German Wikipedia has 9.7 points for quality (as of November 1, 2023). The article contains 1 references and 2 sections.
Since the creation of article "Adversarial Attack", its content was written by 3 registered users of German Wikipedia and edited by 3 registered Wikipedia users in all languages.
The article is cited 3 times in German Wikipedia and cited 3 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | German: #208733 06.2021 |
Global: #1834741 06.2021 |
| Best Rank | German: #206048 04.2022 |
Global: #1333857 10.2020 |
On 30 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Feast of Corpus Christi, YouTube, Vincent Kompany, Hansi Flick, UEFA Europa Conference League, deaths in 2024, ChatGPT, Olympiacos F.C., Furiosa: A Mad Max Saga, UEFA Euro 2024.
In German Wikipedia the most popular articles on that day were: Fronleichnam, Vincent Kompany, Anastassija Jurjewna Saworotnjuk, Pearl Hart, Liste der größten Auslegerbrücken, Eucharistie, Märzengrund (Film), Pythagoras, Khola Maryam Hübsch, Süßes Löchle.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(4.47+1.49+0+9.52+33.25)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
