YoVDO

Information Leakage of Neural Networks

Offered By: GAIA via YouTube

Tags

Neural Networks Courses Federated Learning Courses Data Privacy Courses Machine Learning Security Courses Adversarial Attacks Courses Privacy-Preserving Machine Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the critical issue of information leakage in neural networks through a 28-minute conference talk by Johan Östman, Research Scientist at AI Sweden. Delve into the challenges of handling sensitive data in machine learning models, especially when shared externally. Examine various attack vectors for extracting sensitive information from trained models across different adversarial settings. Learn about mitigation strategies and their effectiveness in protecting data privacy. Gain insights into the legal aspects and the importance of aligning technical and legal definitions of risk. Discover Johan Östman's work in privacy-preserving machine learning, including his leadership roles at AI Sweden and Chalmers University of Technology, as well as his involvement in federated learning projects to combat money laundering. Recorded at the 2024 GAIA Conference, this talk provides valuable knowledge for professionals and researchers concerned with data privacy and security in the evolving field of machine learning.

Syllabus

Information Leakage of Neural Networks by Johan Östman


Taught by

GAIA

Related Courses

Secure and Private AI
Facebook via Udacity
Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera
Big Data for Reliability and Security
Purdue University via edX
MLOps for Scaling TinyML
Harvard University via edX
Edge Analytics: IoT and Data Science
LinkedIn Learning