Aug. 15, 2022, 10 p.m. | Sergio De Simone

InfoQ - AI, ML & Data Engineering www.infoq.com

The growing number of organizations creating and deploying machine learning solutions raises concerns as to their intrinsic security, argues the NCC Group in a recent [whitepaper](Practical Attacks on Machine Learning Systems).

By Sergio De Simone

ai attacks development learning machine machine learning ml & data engineering news python scikit-learn security vulnerabilities systems tensorflow vulnerable

More from www.infoq.com / InfoQ - AI, ML & Data Engineering

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

Senior Business Intelligence Developer / Analyst

@ Transamerica | Work From Home, USA

Data Analyst (All Levels)

@ Noblis | Bethesda, MD, United States