Artificial Intelligence (AI) hacking is a growing communnity here at CypherCon. AI and machine learning is vulnerable to cyber attacks with it's core of modern AI—are rife with vulnerabilities. Attack code to exploit these vulnerabilities has already proliferated across the community while defensive techniques are young, limited, and struggling to keep up. Machine learning vulnerabilities permit hackers and attackers to manipulate the machine learning systems’ integrity (causing them to make mistakes), confidentiality (causing them to leak information), and availability (causing them to cease functioning). Where can hackers come into play to protect AI systems?
No Thought Control: Trust, Exploitation, and the Future of Offensive AI
KEYNOTE: AI Is Changing Everything
Closing Keynote: Rethinking the CIO and CISO Reporting Relationship
Beyond Flipper Zero: Software-Defined Radios for the Hobbyist Hacker
Closing Keynote: Nostalgia is a Sickness. How to Get Well Soon and Recover Internet Optimism
What happens if you handed Them the Keys: Moving from Assumed Breach to Assumed Insider
The Hardware Procurement Iceberg: A Framework For Keeping Embedded Research Fun, Cheap, and Ethical
Hardware Implant Revolution II: Development of Hardware Implants for Red Team Operations
Ransomware vs. Info Stealers: A Comparative Analysis
N8N: The Automation Powerhouse – Building Production-Ready AI Agents Without the Code Complexity