Xiaolong Li

SkillTrojan introduces a novel backdoor attack targeting the composition of reusable skills in agent systems, demonstrating high attack success rates with minimal impact on normal system functionality.

LoopFM proposes a novel framework to significantly improve knowledge distillation for recommendation systems by structuring the rich intermediate embeddings of large foundation models as input features, thereby overcoming the limitations of single-scalar prediction transfer.

This paper introduces GKR-HND, a protocol for verifying the polynomial backbone of Homomorphic--Nonhomomorphic Decomposition Transformers, allowing delegated computation while ensuring model security.

This paper explains the concept of 'weight-norm criticality' in deep neural network training, which is a stability issue induced by the interaction between normalization and weight decay.