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Bin Fang

4 papers here

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

author position
  • first author2
  • middle author1
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cond-mat.mes-hall1
  • cs.CV1
ORCID 0000-0003-1955-6626
same name
  • Bin Fang — 8 papers, h 38
  • Bin Fang — 2 papers
  • Bin Fang — 1 paper
  • Bin Fang — 1 paper
  • Bin Fang — 1 paper
  • Bin Fang — 1 paper

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

most citedTowards Generalizable Data Protection With Transferable Unlearnable Examples

4 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024

A Lightweight Parallel Framework for Blind Image Quality Assessment

Qunyue Huang, Bin Fang

Existing blind image quality assessment (BIQA) methods focus on designing complicated networks based on convolutional neural networks (CNNs) or transformer. In addition, some BIQA…

cs.CR2023★ 4 cited

Towards Generalizable Data Protection With Transferable Unlearnable Examples

Bin Fang, Bo Li, Shuang Wu +4

Artificial Intelligence (AI) is making a profound impact in almost every domain. One of the crucial factors contributing to this success has been the access to an abundance of high…

cs.CR2023★ 2 cited

Re-thinking Data Availablity Attacks Against Deep Neural Networks

Bin Fang, Bo Li, Shuang Wu +3

The unauthorized use of personal data for commercial purposes and the clandestine acquisition of private data for training machine learning models continue to raise concerns. In re…

cond-mat.mes-hall2023

A spintronic Huxley-Hodgkin-analogue neuron implemented with a single magnetic tunnel junction

Davi R. Rodrigues, Rayan Moukhader, Yanxiang Luo +6

Spiking neural networks aim to emulate the brain's properties to achieve similar parallelism and high-processing power. A caveat of these neural networks is the high computational…

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