CoNEXT 2023, 19th International Conference on emerging Networking EXperiments and Technologies, Student Workshop, 8 December 2023, Paris, France
Data Augmentation (DA)—augmenting training data with synthetic
samples—is wildly adopted in Computer Vision (CV) to improve
models performance. Conversely, DA has not been yet popularized
in networking use cases, including Traffic Classification (TC). In
this work, we present a preliminary study of 14 hand-crafted DAs
applied on the MIRAGE19 dataset. Our results (??) show that DA can
reap benefits previously unexplored in TC and (????) foster a research
agenda on the use of generative models to automate DA design.
Type:
Conference
City:
Paris
Date:
2023-12-08
Department:
Data Science
Eurecom Ref:
7515
Copyright:
© ACM, 2023. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CoNEXT 2023, 19th International Conference on emerging Networking EXperiments and Technologies, Student Workshop, 8 December 2023, Paris, France https://doi.org/10.1145/3630202.3630224
See also:
