Ahmadi et al. (2016): ENT, Bytes 1-G, STR, IMG1, IMG2, MD1, MISC, OPC, SEC, REG, DP, API, SYM, MD2 IMG and Opcode N-Grams + Ensemble Learning (XGBoost)
Reported on 2 benchmarks across 1 task
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Miscellaneous2 results
- Accuracy (10-fold)0.9976best: 9641 (MalConv)
- Macro F1 (10-fold)0.9931best: 0.9951 (HYDRA)