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STRANGE LOOP · 2022strange-loop-conference
"Machine learning failures - for art!" by Janelle Shane
STRANGE LOOP · 2022strange-loop-conference
"Machine Learning for Personalised Health" by Danielle Belgrave
STRANGE LOOP · 2022strange-loop-conference
"Machine Learning for Relevance and Serendipity" by Jenny Finkel (2013)
STRANGE LOOP · 2022strange-loop-conference
"Scalable Anomaly Detection (with Zero Machine Learning)" by Arthur Gonigberg
STRANGE LOOP · 2022strange-loop-conference
"Vulpes: A functional approach to deep machine learning on the GPU" by Rob Lyndon
STRANGE LOOP · 2022strange-loop-conference
"Without Open Data, there is no Ethical Machine Learning" by Erin Mikail Staples (Strange Loop 2023)
DEF CON · 2021DC29
What Machine Learning Can and Can't Do for Security
Wendy Edwards
DEF CON · 2021DC29
AI and Offensive Security: Bruce Schneier Keynote
Bruce Schneier
DEF CON · 2021DC29
The Future of AI, Machine Learning, and Offensive Security
Bruce Schneier · Anita Nikolich · Chris Cottrell · Rich Harang · Ram Shankar · Omar Santos
DEF CON · 2020Safe Mode
A Dive into Privacy-Preserving Machine Learning
Nahid Farhady
DEF CON · 2020Safe Mode
Baby's First 100 MLsec Words
Erick Galinkin
DEF CON · 2020Safe Mode
Hyperlocal Drift Detection with Goko
comathematician
DEF CON · 2020Safe Mode
Machine Learning Competition 2020
Hyrum Anderson · Zoltan Balaz
DEF CON · 2020Safe Mode
Pursuit of Exploitable Bugs in Machine Learning
Journal Club Live
DEF CON · 2020Safe Mode
Spectrum Framework for ML-Based Threat Monitoring
Nahid Farhady
DEF CON · 2020Safe Mode
Executing Red Team Scenarios: Proactive Adversary Emulation with Machine Learning
Erdener Uyan · Gökberk Gülgün
DEF CON · 2019DC27
A Buyer's Guide to the Market Promise of Automagic AI
Jon Hawes
DEF CON · 2019DC27
Competitions in Infosec ML
Hyrum Anderson
DEF CON · 2019DC27
Datasciencery by the Splunk Field
Ryan Kovar
DEF CON · 2019DC27
From Noisy Distorted Datasets to Excellent Prediction Model
Tal Leibovich
DEF CON · 2019DC27
Loss Is More: Improving Malware Detectors
Dr. Ethan Rudd
DEF CON · 2019DC27
Machine Learning's Privacy Problem
Jason Mancuso
DEF CON · 2019DC27
Securing your Kubeflow Clusters
Barton Rhodes
DEF CON · 2019DC27
Ariel Herbert-Voss - Don't Red Team AI Like a Chump
Ariel Herbert-Voss