May 15, 2026 · Artificial Intelligence

How a 0.6B Model Beats GPT‑5.2 at Agent Privacy – Introducing MemPrivacy

The article analyzes the long‑standing privacy dilemma of cloud‑based agents, presents MemPrivacy’s three‑stage de‑identification framework and four‑level privacy taxonomy, details its two‑phase training with the MemPrivacy‑Bench dataset, and shows benchmark results where a 0.6B model outperforms GPT‑5.2 while keeping latency under 0.5 seconds.

MemPrivacyagentbenchmark

0 likes · 11 min read

How a 0.6B Model Beats GPT‑5.2 at Agent Privacy – Introducing MemPrivacy

Machine Heart

May 15, 2026 · Artificial Intelligence

When AI Knows Too Much: How MemPrivacy Secures Agent Memory

MemPrivacy introduces a reversible, fine‑grained privacy layer for edge‑cloud agents, outperforming OpenAI's privacy‑filter by over 50 % F1 while keeping system utility loss under 2 %, thus enabling agents to remain useful without exposing raw sensitive data.

AIF1MemPrivacy

0 likes · 16 min read

When AI Knows Too Much: How MemPrivacy Secures Agent Memory