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July 12, 2021

Machine Learning Security

2 hours 2 minutes

„Aus großer Kraft folgt große Verantwortung”

Joy Buolamwini: Fighting algorithmic bias needs to be ‘a priority’

Invisible Women - Exposing Data Bias in a World Designed for Men

Startschuss für intelligente Videoüberwachung in Mannheim

MITRE ATT&CK

Wired.com: An AI Used Facebook Data to Predict Mental Illness

Paper: Depression detection from social network data using machine learning techniques

Why, what and how: ML-Security

Data Poisoning Attacks

Will my ML-systems be attacked?

Adversarial ML Threat Matrix

Gartner Report on Cybersecurity

EU regulation on AI

Microsoft’s Tay

Triggerless backdoors: The Hidden Threat of Deep Learning

Privacy Attacks on ML-Systems

Model Stealing

Unintended Memorization of Neural Nets

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

Stealing Machine Learning Models via Prediction API

Exploiting Machine Learning to Subvert Your Spam Filter

Detection of Adversarial Training Examples in Poisoning Attacks Through Anomaly Detection

What is Adversarial Machine Learning?

Breaking Neural Networks with Adversarial Attacks

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By INNOQ