Explore the intersection of big data and cybersecurity in this comprehensive tutorial from the 23rd ACM Conference on Computer and Communications Security. Delve into adversarial data mining techniques as presented by expert lecturers Murat Kantarcioglu from the University of Texas at Dallas and Bowei Xi from Purdue University. Over the course of 2 hours and 41 minutes, gain valuable insights into how big data analytics can be applied to address emerging cybersecurity challenges. Learn about cutting-edge approaches for detecting and mitigating adversarial attacks on data mining systems, and understand the implications for privacy and security in the era of massive datasets. Discover practical strategies for hardening machine learning models against manipulation and explore the latest research in this rapidly evolving field.
Adversarial Data Mining - Big Data Meets Cyber Security
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
CCS 2016 Tutorial - Adversarial Data Mining: Big Data Meets Cyber Security
Taught by
ACM CCS
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