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Document type:
Konferenzbeitrag 
Contribution type:
Textbeitrag / Aufsatz 
Author(s):
Lettner, Sebastian; Blenk, Andreas 
Title:
Adversarial Network Algorithm Benchmarking 
Abstract:
Most research papers should have one thing in common: a clear and expressive evaluation of proposed solutions to problems. However, evaluating solutions is interestingly a challenging task: when using human-constructed examples or real-world data, it is difficult to assess to which degree the data represents the input spectrum also of future demands. Moreover, evaluations which fail to show generalization might hide algorithm weak-spots, which could eventually lead to reliability and security is...    »
 
Keywords:
Adversarial Traffic Generation, Artificial Intelligence, Data Center 
Horizon 2020:
647158 
Book / Congress title:
The 15th International Conference on emerging Networking EXperiments and Technologies (CoNEXT ’19 Companion) 
Date of congress:
December 9-12 
Publisher:
ACM 
Year:
2019 
Year / month:
2019-12 
Month:
Dec 
Pages:
Fulltext / DOI:
Semester:
WS 19-20