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researcher

Binh M. Le

3 papers here

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG1
ORCID 0000-0002-4344-3421

identity via Semantic Scholar / OpenAlex

most citedADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

9 citations · 18 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2022★ 5 cited

Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability

Shahroz Tariq, Binh M. Le, Simon S. Woo

Time series anomaly detection is extensively studied in statistics, economics, and computer science. Over the years, numerous methods have been proposed for time series anomaly det…

cs.CV2021★ 4 cited

Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images

Binh M. Le, Simon S. Woo

The rapid progression of Generative Adversarial Networks (GANs) has raised a concern of their misuse for malicious purposes, especially in creating fake face images. Although many…

cs.CV2021★ 9 cited

ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

Binh M. Le, Simon S. Woo

Despite significant advancements of deep learning-based forgery detectors for distinguishing manipulated deepfake images, most detection approaches suffer from moderate to signific…

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