art credit: MarioBruhIn the world of artificial intelligence, Large Language Models (LLMs) have become powerful engines for tasks like summarization, generation, classification, and reasoning. But as their applications grow, so do concerns about privacy. When an LLM processes input, it generates hidden states — internal representations of that input — which can unintentionally leak sensitive information. Ritual Foundation recognized this as a serious issue and introduced Cascade, a novel prot...

art credit: MarioBruhIn the world of artificial intelligence, Large Language Models (LLMs) have become powerful engines for tasks like summarization, generation, classification, and reasoning. But as their applications grow, so do concerns about privacy. When an LLM processes input, it generates hidden states — internal representations of that input — which can unintentionally leak sensitive information. Ritual Foundation recognized this as a serious issue and introduced Cascade, a novel prot...