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UID:60324bd4-5157-4fef-925b-57bfbca18a5e@nexttoyou
DTSTAMP:20261105T152039Z
DTSTART:20261106T170000Z
DTEND:20261106T190000Z
SUMMARY:Is Vibe Coding Safe? Benchmarking\, Aligning\, and Exploiting AI C
 oding Agents
LOCATION:Sennott Square 5317\, 210 South Bouquet Street\, Pittsburgh\, PA 
 15260
DESCRIPTION:Talk Abstract\n\nSoftware development is undergoing a major sh
 ift from human coding to AI generation. While the rise of “vibe coding” p
 romises massive productivity gains\, it introduces severe security risks.
  Our study on the SusVibes benchmark reveals that while frontier coding a
 gents achieve 60% functional correctness\, only 10% of their solutions ar
 e secure. To bridge this gap\, we present AuraForge\, a scalable method t
 o synthesize comprehensive security tests. We further develop SecureVibe\
 , a security alignment framework to train coding agents for better securi
 ty planning\, generation\, supervision\, and self-improvement. Finally\, 
 we present agentic systems for security auditing and vulnerability exploi
 tation. This talk provides a clear demonstration of AI coding risks\, pra
 ctical approaches to train secure agents\, and insights into the future o
 f autonomous security defense.\n\nBiography\n\nLei Li is an Associate Pro
 fessor in Language Technologies Institute at Carnegie Mellon University. 
 His research focuses on AI agents\, AI security\, machine translation\, a
 nd AI-powered drug discovery. He received Ph.D. from CMU School of Comput
 er Science in 2011. He is a recipient of the ACL 2021 Best Paper Award an
 d the 2012 ACM SIGKDD dissertation award (runner-up)\, and is recognized 
 as Notable Area Chair of the ICLR 2023. Previously\, he was an associate 
 professor (tenured) at UC Santa Barbara\, the Founding Director of ByteDa
 nce AI Lab\, a principal scientist at Baidu\, and a postdoc researcher at
  UC\n\nhttp://next-to-u.app/events/60324bd4-5157-4fef-925b-57bfbca18a5e
URL:http://next-to-u.app/events/60324bd4-5157-4fef-925b-57bfbca18a5e
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