AISec 2016 - Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2016

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Computer Science

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

It is our pleasure to welcome you to the 9th ACM Workshop on Artificial Intelligence and Security --- AISec 2016. AISec, having been annually co-located with CCS for nine consecutive years, is the premier meeting place for researchers interested in the intersection of security, privacy, AI, and machine learning. Its role as a venue has been to merge practical security problems with advances in AI and machine learning. In doing so, researchers also have been developing theory and analytics unique to this domain and have explored diverse topics such as learning in game-theoretic adversarial environments, privacy-preserving learning, and applications to spam and intrusion detection. AISec 2016 drew a record 38 submissions, of which 12 (32%) were selected for publication and presentation. Submissions arrived from researchers in 16 countries, from a wide variety of institutions both academic and corporate. The accepted papers were organized into the following thematic groups: Security Data Sets: Collection and analysis of data that can serve as a baseline for AI/ML research in security. Machine Learning and Security in Practice: Systems that use machine learning to solve a particular security problem.

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2017	0.216
2018	0.387
2019	0.838

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2017	0
2018	0
2019	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2017	1.357
Cites / Doc. (4 years)	2018	4.143
Cites / Doc. (4 years)	2019	4.714
Cites / Doc. (3 years)	2017	1.357
Cites / Doc. (3 years)	2018	4.143
Cites / Doc. (3 years)	2019	4.714
Cites / Doc. (2 years)	2017	1.357
Cites / Doc. (2 years)	2018	4.143
Cites / Doc. (2 years)	2019	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2017	0
Self Cites	2018	0
Self Cites	2019	0
Total Cites	2017	19
Total Cites	2018	58
Total Cites	2019	66

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2017	1.357
External Cites per document	2018	4.143
External Cites per document	2019	4.714
Cites per document	2017	1.357
Cites per document	2018	4.143
Cites per document	2019	4.714

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2017	0
2018	0
2019	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2017	2
Non-citable documents	2018	2
Non-citable documents	2019	2
Citable documents	2017	12
Citable documents	2018	12
Citable documents	2019	12

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2017	7
Uncited documents	2018	5
Uncited documents	2019	4
Cited documents	2017	7
Cited documents	2018	9
Cited documents	2019	10

% Female Authors

Evolution of the percentage of female authors.

Year	Female Percent
2017	0.00
2018	0.00
2019	0.00

Documents cited by public policy (Overton)

Evolution of the number of documents cited by public policy documents according to Overton database.

Documents	Year	Value
Overton	2017	0
Overton	2018	0
Overton	2019	0

Documents related to SDGs (UN)

Evoution of the number of documents related to Sustainable Development Goals defined by United Nations. Available from 2018 onwards.

Documents	Year	Value
SDG	2018	0
SDG	2019	0

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