5 papers
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:…
Does the Readout Bypass Leak the Input? A Feature-Visibility Audit of Hybrid Quantum-Classical Models
Guilin Zhang, Kai Zhao, Xiquan Cui +3
Readout-side residual hybrids concatenate raw inputs with measured quantum features. Under single-example gradient sharing, a biased first linear layer admits standard analytic rec…
When Error Mitigation Makes Things Worse: Budget-Aware Evaluation, Extrapolation Failure, and the Calibration Trust Boundary
Guilin Zhang, Kai Zhao, Xiquan Cui +3
Error mitigation is expected to turn noisy quantum measurements into more useful estimates. We show that it can instead amplify error. Under control-offset miscalibration, the eval…
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…
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…