SIT719 - Security And Privacy Issues In Analytics, Taxonomy of Attacks, Machine Learning, Internal Report Writing - IT Assignment Help

Assignment Task -                 
 

Overview 
The Information Technology Laboratory (ITL) at the National Institute of Standards and Technology  (NIST) promotes the U.S. economy and public welfare by providing technical leadership for the  Nation’s measurement and standards infrastructure. Recently NIST has published an internal report on “A Taxonomy and Terminology of Adversarial Machine Learning”. This NIST  Interagency/Internal Report (NISTIR) is intended as a step toward securing applications of Artificial  Intelligence (AI), especially against adversarial manipulations of Machine Learning (ML), by developing a taxonomy and terminology of Adversarial Machine Learning (AML).  

Task Description 
Suppose you are working in an organization that is developing a report on the vulnerabilities of machine learning models due to adversarial attacks. Your manager has asked you to provide a 600-word report to submit within the next week. His expectation is that the 600-word report will cover the attack taxonomies, defense mechanisms, and consequences.  

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