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Author

Jun Zhang

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2026

PI-SAFE: Practical Privacy-Preserving LLM Inference With Adversarial Fine-Tuning for Optimized Utility

Cloud-based Large Language Model (LLM) inference services typically require users to submit plain-text inputs, thereby posing severe privacy risks. Existing privacy-preserving paradigms are mostly task-specific and often necessitate pervasive modifications to the entire server-side model. This reliance introduces subst...

Wentao Zhong, Yu-Ting Li, Di-Cong Yu et al. · 0 citations
Conference Jul 2026

CCGP: A Cooperative Coevolutionary Cartesian Genetic Programming Algorithm for Finite State Machine Synthesis

The automated synthesis of sequential circuits remains a core challenge in electronic design automation. When synthesizing finite state machines (FSMs), traditional Cartesian genetic programming (CGP) typically relies on a monolithic representation that couples state and output logic into a single high-dimensional deci...

Siyu Lin, Huikun Huang, Xinyuan Zhang et al. · 0 citations

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