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DEF CON · 2025DC33
How AI Is Revolutionizing Phishing Attacks & Defenses
Levone Campbell
DEF CON · 2025DC33
Context Aware Anomaly Detection in Automotive CAN Without Decoding
Ravi Rajput
CODE BLUE · 2025code-blueadvanced
[CB16] Method of detecting vulnerability in WebApps using Machine Learning by Isao Takaesu
Isao Takaesu
CODE BLUE · 2025code-blueadvanced
［CB20］Vulnerabilities of Machine Learning Infrastructure
CODE BLUE · 2025code-blueadvanced
Making & Breaking Machine Learning Anomaly Detectors in Real Life by Clarence Chio
DEF CON · 2025DC33
Loading Models, Launching Shells: Abusing AI File Formats for Code Execution
C Parzian
DEF CON · 2025DC33
Unveiling the Perils of the TorchScript Engine in PyTorch
Ji'an Zhou · Lishuo Song
HACKTIVITY · 2024hacktivity-it-security-festival
#Hacktivity2020 // Machine Learning Evasion Competition by Zoltán Balázs
DEF CON · 2022DC30
State of the Model: Security, Privacy, & Trustworthiness in High-Stakes Machine Learning
Birhanu Eshete
DEF CON · 2022DC30
Backdooring Pickles: A Decade Later and Things Only Got Worse
ColdwaterQ
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