BRACE: Differential Privacy for Dense Associative Memory with LSR Energy
Dense associative memory (DAM) provides an energy-based framework for memory retrieval with close connections to attention mechanisms in modern artificial intelligence. Despite growing interest in differential privacy for AI, the privacy of DAM retrieval dynamics remains relatively unexplored. In this paper, we develop a differential privacy framework for log-sum-ReLU (LSR) dense associative memory, whose finite-support retrieval dynamics pose distinctive challenges for privacy-preserving computation. We propose the Boundary-Responsive Adaptive Correction Evolution (BRACE) algorithm, a differentially private retrieval mechanism for LSR-DAM that adaptively corrects boundary-sensitive pertu...
| Authors | Chang Qu, Zhaoyang Shi |
|---|---|
| Primary category | cs.CR |
| Published | 8 October 2026 |
| Last updated at source | 8 October 2026 |
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