Adversarially Robust Streaming Algorithms
Offered By: Simons Institute via YouTube
Course Description
Overview
Explore adversarially robust streaming algorithms in this lecture by Omri Ben-Eliezer from the Simons Institute, part of the Sublinear Algorithms Boot Camp. Delve into the challenges and solutions for designing streaming algorithms that maintain accuracy even in the presence of adversarial data manipulation. Gain insights into the latest research and techniques for ensuring robustness in data stream processing, applicable to various fields such as computer science, data analysis, and machine learning.
Syllabus
Adversarially Robust Streaming Algorithms
Taught by
Simons Institute
Related Courses
Probabilistic Graphical Models 1: RepresentationStanford University via Coursera Computer Security
Stanford University via Coursera Intro to Computer Science
University of Virginia via Udacity Introduction to Logic
Stanford University via Coursera Internet History, Technology, and Security
University of Michigan via Coursera