Shownotes & Links
- 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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