Jan. 27, 2022, 2:10 a.m. | Fatima Salahdine, Zakaria El Mrabet, Naima Kaabouch

cs.LG updates on arXiv.org arxiv.org

Phishing attacks are one of the most common social engineering attacks
targeting users emails to fraudulently steal confidential and sensitive
information. They can be used as a part of more massive attacks launched to
gain a foothold in corporate or government networks. Over the last decade, a
number of anti-phishing techniques have been proposed to detect and mitigate
these attacks. However, they are still inefficient and inaccurate. Thus, there
is a great need for efficient and accurate detection techniques to …

arxiv attacks detection learning machine machine learning

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Machine Learning Engineer (m/f/d)

@ StepStone Group | Düsseldorf, Germany

2024 GDIA AI/ML Scientist - Supplemental

@ Ford Motor Company | United States