THC 2026 - AI for Vulnerability Detection and Repair: Opportunities and Challenges
Merve Sahin (SAP) 🎙️, Kendrick Gruenberg (SAP, TU Braunschweig) and Malte Wessels (TU Braunschweig) The rapid advancement of AI, and particularly Large Language Models (LLMs), has opened new opportunities for software security. From vulnerability detection to automated repair, AI-driven techniques are increasingly explored to support the software vulnerability management lifecycle. This talk will provide an overview of the state of the art in this area and present our recent research on automated vulnerability repair, highlighting the difficulties in designing an evaluation benchmark and sharing insights into how AI-generated vulnerability fixes compare with those written by human developers.
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THC 2026 - Michael Schwarz Keynote
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Beliz Kaleli
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The 2026 AI threat landscape
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MIT Just Revealed the AI Bubble's Fatal Flaw
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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THC 2026 - Vibe Coding at Scale: Systematic Discovery of Authorization Failures and Data Exposure
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Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
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THC 2026 - Using hardware signals to detect malware in critical embedded systems
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DevOps for FPGA 101: from version control to hardware in the loop testing (Matteo Vit)
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THC 2026 - Experimental study of the security of WirelessHART
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Don't learn AI Agents without Learning these Fundamentals
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THC 2026 - Attack Scenarios and Embedded Intrusion Detection for Space Systems
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Software engineering at the tipping point
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God Says:"AN URGENT CALL — OPEN QUICKLY TO HEAR WHAT I HAVE TO SAY."/God Message Now/God Message
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Something is jamming GPS over Europe. Here's what we found
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it's time for the talk.
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CLAUDE CODE MASTERCLASS 4 HOURS: Build & Sell (2026)
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Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI
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CLAUDE CODE ADVANCED FULL COURSE (3 HOURS)
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