SecAppDev 2024 - AI / ML security
SecAppDev 2024 offers three days of in-depth lectures and two days of hands-on workshops. Use the buttons below to navigate between the topics. The full schedule shows all sessions.
AI / ML security
Threat modeling
OWASP top 10
Authentication
Authorization
Architecture
Secure Coding
Supply chain security
API security
Web security
Cryptography
Governance
Application Security
AI Security: Essentials to Advanced
Introductory lecture by Jim Manico in room Lemaire
Monday June 3rd, 16:00 - 17:30
Unpack AI security: business impacts, ethics, LLM challenges, privacy, and regulations like the EU AI Act. Essential for secure AI deployment.
Key takeaway: Secure and ethical AI deployment requires understanding risks, regulations, and best practices in technology and governance.
Vulnerabilities of Large Language Model Applications
Deep-dive lecture by Vera Rimmer in room West Wing
Wednesday June 5th, 11:00 - 12:30
The session will start with a quick primer on data-driven AI and the key mechanisms behind LLMs. Then we will explore the general threat landscape, including academic attacks and more practical threats (OWASP Top 10 for LLMs).
Key takeaway: LLMs are a vulnerable intermediary between users and information. Increasing autonomy, complexity and integration of AI amplifies all existing risks.