Data Science or Data Pseudo-Science? Applying Data Science Concepts to Infosec without a PhD
Deep Adversarial Architectures for Detecting (and Generating) Maliciousness
Flaying out the Blockchain Ledger for Fun, Profit, and Hip Hop
Defeating Machine Learning: Systemic Deficiencies for Detecting Malware
Why it's all snake oil - and that may be ok
How to make sure your data science isn’t vulnerable to attack
Ground Truth Keynote: Great Disasters of Machine Learning
No Silver Bullet. Multi contextual threat detection via Machine Learning.
Labeling the VirusShare Corpus: Lessons Learned
Determining Normal: Baselining with Security Log and Event Data
CyPSA Cyber Physical Situational Awareness
Dominating the DBIR Data
QUESTIONING 42: Where is the “Engineering” in the Social Engineering of Namespace Compromises?