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Chenchen Liu

9 papers hereh-index 13781 citations45 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.CV2
  • cs.AR1
  • cs.CR1
  • cs.DC1
same name
  • Chenchen Liu — 2 papers
  • Chenchen Liu — 2 papers, h 11
  • Chenchen Liu — 2 papers, h 2
  • Chenchen Liu — 1 paper
  • Chenchen Liu — 1 paper, h 2
  • Chenchen Liu — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedInterpreting and Evaluating Neural Network Robustness

11 citations · 15 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2019★ 11 cited

Interpreting and Evaluating Neural Network Robustness

Fuxun Yu, Zhuwei Qin, Chenchen Liu +3

Recently, adversarial deception becomes one of the most considerable threats to deep neural networks. However, compared to extensive research in new designs of various adversarial…

cs.LG2018

Interpreting Adversarial Robustness: A View from Decision Surface in Input Space

Fuxun Yu, Chenchen Liu, Yanzhi Wang +2

One popular hypothesis of neural network generalization is that the flat local minima of loss surface in parameter space leads to good generalization. However, we demonstrate that…

cs.LG2018

Functionality-Oriented Convolutional Filter Pruning

Zhuwei Qin, Fuxun Yu, Chenchen Liu +1

The sophisticated structure of Convolutional Neural Network (CNN) allows for outstanding performance, but at the cost of intensive computation. As significant redundancies inevitab…

cs.LG2018

Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients

Fuxun Yu, Zirui Xu, Yanzhi Wang +2

In recent years, neural networks have demonstrated outstanding effectiveness in a large amount of applications.However, recent works have shown that neural networks are susceptible…

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