2 citations · 2 across the 3 of their papers we have counts for
4 papers
New Second-Order Achievability Bounds for Coding with Side Information via Type Deviation Convergence
Xiang Li, Cheuk Ting Li
We propose a framework for second-order achievability, called type deviation convergence, that is generally applicable to settings in network information theory, and is especially…
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
Kai Hu, Weichen Yu, Yining Li +7
Recent research indicates that large language models (LLMs) are susceptible to jailbreaking attacks that can generate harmful content. This paper introduces a novel token-level att…
Null Space Properties of Neural Networks with Applications to Image Steganography
Xiang Li, Kevin M. Short
This paper explores the null space properties of neural networks. We extend the null space definition from linear to nonlinear maps and discuss the presence of a null space in neur…
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization
Ganyu Wang, Qingsong Zhang, Li Xiang +3
Vertical Federated Learning (VFL) attracts increasing attention because it empowers multiple parties to jointly train a privacy-preserving model over vertically partitioned data. R…