Cloud agents typically send user messages to remote LLMs and store conversation traces in memory systems (e.g., Mem0, LangMem, Memobase) for long-term personalization. This creates a large privacy attack surface: plaintext prompts and logs may contain PII, medical/financial data, credentials cloud memory stores can leak via retrieval, prompt injection, inversion, or misconfiguration naïve mitigation (e.g., *** masking) destroys task semantics, harming retrieval and personalization Goal: reduce privacy leakage without sacrificing utility.
Paper page - MemPrivacy: Privacy-Preserving Personalized Memory Management for Edge-Cloud Agents…self.llm_provider.get(LLMRole.RESEARCHER), }, ] Context management is central to how deep agents work. The planner agent produces a JSON research plan. The researcher agent receives only this plan — not the…
…integration and INT4 quantization enable sophisticated LLM agents to run directly on CPU infrastructure with plug-and-play ease. Offline and Edge Use-Cases : Privacy and connectivity aren't always guaranteed. By…
…Think using a VPN gives you more privacy? Think again. A letter from US lawmakers this week questioned director of national security Tulsi Gabbard over whether US surveillance authorities allow the National…
…a VPN and online data management tools to help you protect your information. You’ll even get an intuitive dashboard for quickly optimizing your Windows privacy settings and performance, something I haven…
…In March, the AI law startup Harvey, which uses agentic AI to automate legal workflows, raised $200 million at a valuation of $11 billion. Last month, a rival startup, Legora, raised a…
…There is also the privacy aspect. While VS Code is open source, Microsoft still collects telemetry data, which means it is not the most privacy-focused development environment available. There are plenty…
In a tale as old as Blackwell , Nvidia has managed to make it through yet another quarterly report with nary a mention of gaming. Well, okay, there was one mention of gaming…
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