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DEF CON 26 AI VILLAGE - Li Chen - GAN to the dark side A case study of attacking machine-learning systems to empower defenses - Audio.opus

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DEF CON 26 AI VILLAGE - Li Chen - GAN to the dark side A case study of attacking machine-learning systems to empower defenses - Audio.opus
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DEF CON 26 AI VILLAGE - Kang Li - Beyond Adversarial Learning Security Risks in AI Implementations - Audio.opus
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DEF CON 26 AI VILLAGE - Mansour Ahmadi - IntelliAV Building an Effective On-Device Android Malware Detector - Audio.opus
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DEF CON 26 AI VILLAGE - Ivan Torroledo - DeepPhish Simulating the Malicious Use of AI - Audio.opus
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DEF CON 26 AI VILLAGE - Mark Mager - Stop and Step Away from the Data Rapid Anomaly Detection via Ransom Note File Classification - Audio.opus
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DEF CON 26 AI VILLAGE - Fedor Sakharov - Detecting Web Attacks with Recurrent Neural Networks - Audio.opus
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DEF CON 26 AI VILLAGE - Matt - It is a Beautiful Day in the Malware Neighborhood - Audio.opus
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DEF CON 26 AI VILLAGE - Clarence Chio and Panel - Closing notes and prizes - Audio.opus
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DEF CON 26 AI VILLAGE - Raphael Norwitz - StuxNNet Practical Live Memory Attacks on Machine Learning Systems - Audio.opus
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DEF CON 26 AI VILLAGE - Chris Gardner - Chatting with your programs to find vulnerabilities - Audio.opus
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DEF CON 26 AI VILLAGE - Rob Brandon - JMPgate Accelerating reverse engineering into hyperspace using AI - Audio.opus
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DEF CON 26 AI VILLAGE - Brian Genz - Generating Labeled Data From Adversary Simulations With MITRE ATTACK - Audio.opus
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DEF CON 26 AI VILLAGE - Shankar and Kumar - Towards a framework to quantitatively assess AI safety challenges open questions and opportunities - Audio.opus
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DEF CON 26 AI VILLAGE - Aylin Caliskan - The great power of AI Algorithmic mirrors of society - Audio.opus
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DEF CON 26 AI VILLAGE - Sven Cattell - Adversarial Stickers - Audio.opus
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DEF CON 26 AI VILLAGE - Ariel Herbert-Voss - Machine Learning Model Hardening For Fun and Profit - Audio.opus
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DEF CON 26 AI VILLAGE - TonTon Huang - Hunting the Ethereum Smart Contract Color-inspired Inspection of Potential Attacks - Audio.opus
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DEF CON 26 AI VILLAGE - Andy Applebaum - Automated Planning for the Automated Red Team - Audio.opus
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DEF CON 26 AI VILLAGE - bodaceacat and Panel - Responsible Offensive Machine Learning - Audio.opus
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DEF CON 26 AI VILLAGE - Andrew Morris - Identifying and correlating anomalies in Internet-wide scan traffic to newsworthy security events - Audio.opus
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