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researcher

Long Dang

4 papers here

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

author position
  • first author2
  • middle author2

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

fields
  • cs.LG3
  • cs.CV1

identity via Semantic Scholar / OpenAlex

activity
20212025
most citedML Attack Models: Adversarial Attacks and Data Poisoning Attacks

31 citations · 31 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Securing Traffic Sign Recognition Systems in Autonomous Vehicles

Thushari Hapuarachchi, Long Dang, Kaiqi Xiong

Deep Neural Networks (DNNs) are widely used for traffic sign recognition because they can automatically extract high-level features from images. These DNNs are trained on large-sca…

cs.LG2025

SDN-Based False Data Detection With Its Mitigation and Machine Learning Robustness for In-Vehicle Networks

Long Dang, Thushari Hapuarachchi, Kaiqi Xiong +1

As the development of autonomous and connected vehicles advances, the complexity of modern vehicles increases, with numerous Electronic Control Units (ECUs) integrated into the sys…

cs.LG2023

Improving Machine Learning Robustness via Adversarial Training

Long Dang, Thushari Hapuarachchi, Kaiqi Xiong +1

As Machine Learning (ML) is increasingly used in solving various tasks in real-world applications, it is crucial to ensure that ML algorithms are robust to any potential worst-case…

cs.LG2021★ 31 cited

ML Attack Models: Adversarial Attacks and Data Poisoning Attacks

Jing Lin, Long Dang, Mohamed Rahouti +1

Many state-of-the-art ML models have outperformed humans in various tasks such as image classification. With such outstanding performance, ML models are widely used today. However,…

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