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Prince Jha

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#machine learning Preprint Oct 2026

CausalDreamer: Learning Predictive World Models with Latent Disentanglement

World models for control must capture which aspects of the environment respond to the agent's actions and which are relevant to reward. Generative world models such as Dreamer 4 consist of a video tokenizer, which encodes each frame into a latent, and a dynamics model, which is pretrained to predict future latents from...

Prince Jha, Nils Lukas, Kun Zhang et al. · 0 citations
#machine learning Preprint Aug 2026

Context Inference Attacks Without Jailbreaks

This work introduces and formalizes context-inference attacks through a security game and evaluates three settings under decreasing attacker knowledge and increasingly indirect delivery of the context: a known context, an unknown context, and a context the agent retrieves through its own tool calls.

Prince Jha, Samuele Poppi, Nils Lukas · 0 citations

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