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researcher

S. Nadjm-Tehrani

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CR1

identity via Semantic Scholar / OpenAlex

most citedOn generating network traffic datasets with synthetic attacks for intrusion detection

4 citations · 4 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2021

Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles

John Törnblom, Simin Nadjm-Tehrani

To guarantee that machine learning models yield outputs that are not only accurate, but also robust, recent works propose formally verifying robustness properties of machine learni…

cs.LG2019

Formal Verification of Input-Output Mappings of Tree Ensembles

John Törnblom, Simin Nadjm-Tehrani

Recent advances in machine learning and artificial intelligence are now being considered in safety-critical autonomous systems where software defects may cause severe harm to human…

cs.CR2019★ 4 cited

On generating network traffic datasets with synthetic attacks for intrusion detection

Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Aidmar Wainakh +2

Most research in the area of intrusion detection requires datasets to develop, evaluate or compare systems in one way or another. In this field, however, finding suitable datasets…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.