TY  - CHAP
AU  - Oregi, Izaskun
AU  - Del Ser, Javier
AU  - Perez, Aritz
AU  - Lozano, Jose A.
PY  - 2018
DO  - 10.1007/978-3-319-99626-4_3
SN  - 1860-949X
UR  - https://hdl.handle.net/11556/1699
AB  - Adversarial Machine Learning (AML) refers to the study of the robustness of classification models when processing data samples that have been intelligently manipulated to confuse them. Procedures aimed at furnishing such confusing samples exploit...
LA  - eng
PB  - Springer Verlag
TI  - Adversarial sample crafting for time series classification with elastic similarity measures
TY  - book part
ER  -