T2-z: Test-Time Optimization of Environment Latents for Robotic World Models
T2-Z adapts frozen robotic world models at test time by optimizing a compact environment latent.
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T2-Z adapts frozen robotic world models at test time by optimizing a compact environment latent.
LiBRA attack removes AI-image watermarks in an autoencoder's latent space while preserving quality, steering decoder confidence toward random guessing instead of inversion.
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