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researcher

Adam Lehavi

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedFeature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2023

Does Video Summarization Require Videos? Quantifying the Effectiveness of Language in Video Summarization

Yoonsoo Nam, Adam Lehavi, Daniel Yang +3

Video summarization remains a huge challenge in computer vision due to the size of the input videos to be summarized. We propose an efficient, language-only video summarizer that a…

cs.LG2023★ 5 cited

Feature Reduction Method Comparison Towards Explainability and Efficiency in Cybersecurity Intrusion Detection Systems

Adam M. Lehavi, Seongtae Kim

In the realm of cybersecurity, intrusion detection systems (IDS) detect and prevent attacks based on collected computer and network data. In recent research, IDS models have been c…

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