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cs.AI2026
MemLeak: Cross-User Semantic Leakage in Multi-Tenant AI Agent Memory
Priyanka Mudgal, Kai Zhao, Guilin Zhang +4
Personal AI agents in enterprise multi-tenant deployments share a common vector store for long-term memory. Shared embedding spaces create a surface for cross-user memory leakage:…
cs.AI2026
Report: Progressive Disclosure of Agent Skills
Guilin Zhang, Kai Zhao, Priyanka Mudgal +4
Users of Workday's deployed LLM-based agents often request features which can be addressed by defining named procedures, also known as skills, in the LLM context, effectively augme…
cs.AI2026
Deployment-Time Memorization in Foundation-Model Agents
Lei, Chen, Guilin Zhang +8
Foundation-model agents are increasingly long-lived systems that remember users across interactions, making memorization an explicit deployment-time function rather than solely a p…