Papers by Mengke Zhang

2 papers
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud (2024.findings-naacl)

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Challenge: Currently, the server controls the generated text, but users can't keep it private . prompted generation is a common interaction paradigm for large language models on cloud .
Approach: They propose a protocol where the server handles most of the computation while the client controls the sampling operation.
Outcome: The proposed protocol protects both prompt and generation under strong attacks.
Don’t Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction (2026.acl-long)

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Challenge: Existing GUI agents assume deterministic environment responses, generating actions without verifying whether previous operations succeeded.
Approach: They propose a GUI agent that explicitly models action outcomes and recovery under noisy environments.
Outcome: The proposed agent reduces failure loops and improves recovery success in noisy environments while maintaining competitive standard task performance.

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