Generative Red Team Recap
Generative Red Team History
AI Village @ DEF CON 27
| | Start Time | Length (Minutes) | Primary Speaker | Talk Title |
| Friday | 10:00 AM | 15 | AI Village Organizers | Opening Remarks |
| Friday | 10:15 AM | 30 | TBA | Misinformation Keynote |
| Friday | 10:45 AM | 30 | Siwei Lyu | Seeing is deceiving: The rise of AI-synthesized fake media |
| Friday | 11:15 AM | 45 | Lauren Putvin | Exploratory Data Analysis: Why and How (in Python) |
| Friday | 12:00 PM | 45 | Jon Hawes | A 'buyers guide' to the market promise of automagic AI-enabled detection and response |
| Friday | 1:00 PM | 30 | Ryan Kovar, Dave Herrald, David Veuve | Network defenders in a data scientist world |
| Friday | 1:30 PM | 45 | Angelo Oliveira | Fighting Malware with Deep Learning |
| Friday | 2:15 PM | 30 | Yisroel Mirsky | Automated Injection & Removal of Medical Evidence in CT and MRI Scans |
| Friday | 2:45 PM | 45 | Ethan Rudd | Loss Is More! Improving Malware Detectors by Learning Additional Tasks |
| Friday | 3:30 PM | 30 | Walter Scheirer | Backdooring Convolutional Neural Networks via Targeted Weight Perturbations |
| Friday | 4:00 PM | 30 | Roei Amit, Tal Leibovich | How to get over your malicious ex(tensions) using deep learning |
| Friday | 4:30 PM | 30 | Hyrum Anderson, Ryan Kovar | Competitions in Infosec/ML |
| Friday | 5:00 PM | 120 | TBD | AI Unwind |
| Saturday | 10:00 AM | 45 | Rand Waltzman | MD: Multimedia Disinformation - Is there a Doctor in the House?! |
| Saturday | 10:45 AM | 45 | Jason Mancusco | Machine Learning's Privacy Problem |
| Saturday | 11:30 AM | 30 | Richard Harang, Ethan Rudd | A Tutorial on Hacking Facial Recognition Systems |
| Saturday | 1:30 PM | 30 | Kenya Yoshimura, Takahiro Yoshimura | Clairvoyance: concurrent lip-reading for the smart masses |
| Saturday | 2:00 PM | 30 | Barton Rhodes | Securing your kubeflow clusters |
| Saturday | 2:30 PM | 30 | Laurin Weissinger | AI vs. Airplanes and IT-Security: What Security Regulations Teach Us About AI Governance |
| Saturday | 3:00 PM | 30 | Anna Skelton | Deepfakes, Deep Trouble: Analyzing the Effects of Deepfakes on Market Manipulation |
| Saturday | 4:00 PM | 45 | Samantha Cole, Danielle Citron, Rumman Chowdhury, Brit Paris | Deep Fakes Panel |
| Saturday | 5:00 PM | 120 | TBD | AI Unwind |
| Sunday | 10:00 AM | 30 | Jesus Solano, David Camacho | Behavioral Biometrics and Context Analytics: Risk Based Authentication Re-Imagined |
| Sunday | 10:30 AM | 45 | Tal Leibovich, Shimon Noam Oren | From Noisy, Distorted data-sets to excellent prediction models |
| Sunday | 11:15 AM | 45 | Vahid Behzadan | Faults in our Pi Stars: Security Issues and Challenges in Deep Reinforcement Learning |
2023
Threat Modeling LLM Applications
Threat Modeling LLM Applications Before we get started: Hi! My name is GTKlondike, and these are my opinions as a cybersecurity consultant. While experts fr...
AI Village at DEF CON announces largest-ever public Generative AI Red Team
Largest annual hacker convention to host thousands to find bugs in large language models built by Anthropic, Google, Hugging Face, NVIDIA, OpenAI, and Stabil...
The Spherical Cow of ML Security
The Spherical Cow of Machine Learning Security
Prompt Detective at SXSW!
Prompt Detective Announcement
2022
The AI RMF Does not Address Common Needs
Disclaimer: This does not reflect the AIV as a whole, these are my opinions and this was my response.
AI and Hiring Tech Panel
AI and ML is already being used to identify job candidates, screen resumes, assess worker productivity and even help tag candidates for firing. Can the inter...
The Use of AI/ML in Offensive Security Operations
The Red Team Village and the AI Village will host a panel from different industry experts to discuss the use of artificial intelligence and machine learning ...
DEFCON 30 Sunday Schedule
Automate Detection with Machine Learning
DEFCON 30 Saturday Schedule
A few useful things to know about AI Red Teams
DEFCON 30 Friday Schedule
Automate Detection with Machine Learning
Generative Art
Generative Art at AI Village DEF CON 30
2018
Gradient Attacks
Welcome to the second post in the AI Village’s adversarial machine learning series. This one will cover the greedy fast methods that are most commonly used. ...
Max evil MLsec, why should you care?
Originally posted on Medium - follow @sarajayneterp and like her article there
Dimensionality and Adversarial Examples
Welcome to AI Village’s series on adversarial examples. This will focus on image classification attacks as they are simpler to work with and this series is m...