ArXiv TLDR

Ping He

2 papers · Latest:

Machine Learning

Min Generalized Sliced Gromov Wasserstein: A Scalable Path to Gromov Wasserstein

min-GSGW offers a scalable, rigid-motion invariant method for Gromov-Wasserstein by using generalized slicers and an amortized variant.

2605.13753
Cryptography & Security

Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors

This paper introduces a method to inject stealthy and reliable backdoors into LLMs by compiling activation steering vectors into model weights via null-space constraints.

2604.12359

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