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Juntao Chen

4 papers here

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

author position
  • middle author1
  • last author3

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

fields
  • quant-ph3
  • cs.CR1
same name
  • Juntao Chen — 15 papers, h 18
  • Juntao Chen — 7 papers
  • Juntao Chen — 5 papers
  • Juntao Chen — 3 papers, h 2
  • Juntao Chen — 1 paper
  • Juntao Chen — 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

activity
20242026
most citedDifferentiable Architecture Search for Adversarially Robust Quantum Computer Vision

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

quant-ph2026★ 1 cited

Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision

Mohamed Afane, Quanjiang Long, Haoting Shen +4

Current quantum neural networks suffer from extreme sensitivity to both adversarial perturbations and hardware noise, creating a significant barrier to real-world deployment. Exist…

quant-ph2025

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks

Rahul Kumar, Wenqi Wei, Ying Mao +3

We propose a circuit-level attack, SQUASH, a SWAP-Based Quantum Attack to sabotage Hybrid Quantum Neural Networks (HQNNs) for classification tasks. SQUASH is executed by inserting…

quant-ph2025

ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks

Mohamed Afane, Gabrielle Ebbrecht, Ying Wang +2

Quantum Neural Networks (QNNs) offer promising capabilities for complex data tasks, but are often constrained by limited qubit resources and high entanglement, which can hinder sca…

cs.CR2024★ 1 cited

Next-Generation Phishing: How LLM Agents Empower Cyber Attackers

Khalifa Afane, Wenqi Wei, Ying Mao +2

The escalating threat of phishing emails has become increasingly sophisticated with the rise of Large Language Models (LLMs). As attackers exploit LLMs to craft more convincing and…

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