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Chao Shen

15 papers hereh-index 221.6k citations46 works total

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

author position
  • middle author13
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CR9
  • cs.LG4
  • cs.CV1
  • cs.SD1
same name
  • Chao Shen — 28 papers, h 23
  • Chao Shen — 26 papers, h 9
  • Chao Shen — 16 papers, h 9
  • Chao Shen — 13 papers, h 8
  • Chao Shen — 11 papers, h 10
  • Chao Shen — 8 papers, h 2

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
20192024
most citedBlack-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information

77 citations · 142 across the 15 of their papers we have counts for

collaborators
Showing 2021 · cs.CRShow all

4 papers · 2 filters

cs.CR2021★ 77 cited

Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information

Baolin Zheng, Peipei Jiang, Qian Wang +6

Adversarial attacks against commercial black-box speech platforms, including cloud speech APIs and voice control devices, have received little attention until recent years. The cur…

cs.CR2021★ 4 cited

Property Inference Attacks Against GANs

Junhao Zhou, Yufei Chen, Chao Shen +1

While machine learning (ML) has made tremendous progress during the past decade, recent research has shown that ML models are vulnerable to various security and privacy attacks. So…

cs.CR2021★ 7 cited

Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns

Man Zhou, Qian Wang, Qi Li +5

Face authentication usually utilizes deep learning models to verify users with high recognition accuracy. However, face authentication systems are vulnerable to various attacks tha…

cs.CR2021★ 3 cited

Teacher Model Fingerprinting Attacks Against Transfer Learning

Yufei Chen, Chao Shen, Cong Wang +1

Transfer learning has become a common solution to address training data scarcity in practice. It trains a specified student model by reusing or fine-tuning early layers of a well-t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.