DEF CON 26 AI VILLAGE - Rob Brandon - JMPgate Accelerating Reverse Engineering Into Hyperspace
DEF CON 26 AI VILLAGE - Ariel Herbert Voss - Machine Learning Model Hardening For Fun and Profit
DEF CON 26 AI VILLAGE - Sven Cattell - Adversarial Patches
DEF CON 26 AI VILLAGE - Fedor Sakharov - Detecting Web Attacks with Recurrent Neural Networks
DEF CON 26 AI VILLAGE - Matt - It is a Beautiful Day in the Malware Neighborhood
DEF CON 26 AI VILLAGE - infosecanon - The Current State of Adversarial Machine Learning
DEF CON 26 AI VILLAGE - Raphael Norwitz - StuxNNet Practical Live Memory Attacks on Machine Learning
DEF CON 26 AI VILLAGE - Aylin Caliskan - The Great Power of AI Algorithmic Mirrors of Society
DEF CON 26 AI VILLAGE - Clarence Chio and Panel - Opening Remarks
DEF CON 26 AI VILLAGE - Andrew Morris - Identifying and Correlating Anomalies in Internetwide Scan
DEF CON 26 AI VILLAGE - Mark Mager - Rapid Anomaly Detection via Ransom Note File Classification
DEF CON 26 AI VILLAGE - Andy Applebaum - Automated Planning for the Automated Red Team
DEF CON 26 AI VILLAGE - Alex Long - AI DevOps Behind the Scenes of a Global AV Company
DEF CON 26 AI VILLAGE - Ivan Torroledo - DeepPhish Simulating the Malicious Use of AI
DEF CON 26 AI VILLAGE - bodaceacat and Panel - Responsible Offensive Machine Learning
DEF CON 26 AI VILLAGE - Chris Gardner - Chatting with Your Programs to Find Vulnerabilities
DEF CON 26 AI VILLAGE - Brian Genz - Generating Labeled Data From Adversary Sims with MITRE ATT&CK
DEF CON 26 AI VILLAGE - Kang Li - Beyond Adversarial Learning Security Risks in AI Implementations
DEF CON 26 AI VILLAGE - drhyrum and Panel - Malware Panel
DEF CON 26 AI VILLAGE - Shankar and Kumar - Towards a Framework to Quantitatively Assess AI Safety
