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Differential Privacy for LLMs

DP-SGD remains the standard - noise-injected gradient updates provide formal (epsilon, delta) guarantees. Overhead in compute, memory, and utility is substantial; parameter-efficient DP fine-tuning (LoRA + DP-SGD) is the common 2025…

BuildPython (stdlib, DP-SGD noise-injection and ε-δ accountant demonstration) 1 h Paid plans
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