activity
20202023
most citedDeep Quaternion Features for Privacy Protection

9 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory

Yiting Chen, Zhanpeng Zhou, Junchi Yan

The behavior of neural networks still remains opaque, and a recently widely noted phenomenon is that networks often achieve similar performance when initialized with different rand…

cs.LG2023★ 8 cited

Energy-based Out-of-Distribution Detection for Graph Neural Networks

Qitian Wu, Yiting Chen, Chenxiao Yang +1

Learning on graphs, where instance nodes are inter-connected, has become one of the central problems for deep learning, as relational structures are pervasive and induce data inter…

cs.LG2021

A Unified Game-Theoretic Interpretation of Adversarial Robustness

Jie Ren, Die Zhang, Yisen Wang +8

This paper provides a unified view to explain different adversarial attacks and defense methods, \emph{i.e.} the view of multi-order interactions between input variables of DNNs. B…

cs.LG2021★ 2 cited

A Unified Game-Theoretic Interpretation of Adversarial Robustness

Jie Ren, Die Zhang, Yisen Wang +8

This paper provides a unified view to explain different adversarial attacks and defense methods, i.e. the view of multi-order interactions between input variables of DNNs. Based on…

cs.LG2020★ 7 cited

Technical Note: Game-Theoretic Interactions of Different Orders

Hao Zhang, Xu Cheng, Yiting Chen +1

In this study, we define interaction components of different orders between two input variables based on game theory. We further prove that interaction components of different orde…

cs.LG2020★ 1 cited

Rotation-Equivariant Neural Networks for Privacy Protection

Hao Zhang, Yiting Chen, Haotian Ma +5

In order to prevent leaking input information from intermediate-layer features, this paper proposes a method to revise the traditional neural network into the rotation-equivariant…