Binh Minh Le

Orcid: 0000-0002-4344-3421

According to our database1, Binh Minh Le authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
SoK: Facial Deepfake Detectors.
CoRR, 2024

SEE: Spherical Embedding Expansion for Improving Deep Metric Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Gradient Alignment for Cross-Domain Face Anti-Spoofing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
OTJR: Optimal Transport Meets Optimal Jacobian Regularization for Adversarial Robustness.
CoRR, 2023

Why Do Deepfake Detectors Fail?
CoRR, 2023

KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition.
IEEE Access, 2023

Expectation-Maximization via Pretext-Invariant Representations.
IEEE Access, 2023

Why Do Facial Deepfake Detectors Fail?
Proceedings of the 2nd Workshop on Security Implications of Deepfakes and Cheapfakes, 2023

Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Understanding of Deepfake Videos in the Wild.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial Vulnerability.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Exploring the Asynchronous of the Frequency Spectra of GAN-generated Facial Images.
CoRR, 2021

ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images.
CoRR, 2021


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