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Nerftap: Enhancing Transferability of Adversarial Patches on Face Recognition Using Neural Radiance Fields
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inferredcites →https://doi.org/10.1007/978-3-030-01264-9_33openalex-extracted
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network
inferredcites →https://doi.org/10.1007/978-3-030-58452-8_24openalex-extracted
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
inferredcites →https://doi.org/10.1007/978-3-031-26409-2_19openalex-extracted
Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Models
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-extracted
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-97909-0_46openalex-extracted
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
inferredcites →https://doi.org/10.1109/3dv53792.2021.00103openalex-extracted
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
inferredcites →https://doi.org/10.1109/cvpr.2015.7298682openalex-extracted
FaceNet: A unified embedding for face recognition and clustering
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00552openalex-extracted
CosFace: Large Margin Cosine Loss for Deep Face Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00957openalex-extracted
Boosting Adversarial Attacks with Momentum
inferredcites →https://doi.org/10.1109/cvpr.2019.00284openalex-extracted
Improving Transferability of Adversarial Examples With Input Diversity
inferredcites →https://doi.org/10.1109/cvpr.2019.00444openalex-extracted
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks
inferredcites →https://doi.org/10.1109/cvpr.2019.00482openalex-extracted
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00813openalex-extracted
Analyzing and Improving the Image Quality of StyleGAN
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01167openalex-extracted
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01565openalex-extracted
Efficient Geometry-aware 3D Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv48922.2021.00387openalex-extracted
Towards Face Encryption by Generating Adversarial Identity Masks
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412236openalex-extracted
AdvHat: Real-World Adversarial Attack on ArcFace Face ID System
inferredcites →https://doi.org/10.1109/ijcb48548.2020.9304898openalex-extracted
AdvFaces: Adversarial Face Synthesis
inferredcites →https://doi.org/10.1109/tifs.2020.3036801openalex-extracted
Towards Transferable Adversarial Attack Against Deep Face Recognition
inferredcites →https://doi.org/10.1145/3415263.3419160openalex-extracted
Accelerating 3D deep learning with PyTorch3D
inferredcites →https://doi.org/10.1145/3450626.3459936openalex-extracted
Learning an animatable detailed 3D face model from in-the-wild images
inferredcites →https://doi.org/10.1145/3544777openalex-extracted
Pivotal Tuning for Latent-based Editing of Real Images
inferredcites →https://doi.org/10.4230/oasics.saia.2024.1openalex-extracted
On Assessing ML Model Robustness: A Methodological Framework (Academic Track)
inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-extracted
Explaining and Harnessing Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1602.07360openalex-extracted
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
inferredcites →https://doi.org/10.48550/arxiv.1608.03983openalex-extracted
SGDR: Stochastic Gradient Descent with Warm Restarts
inferredcites →https://doi.org/10.48550/arxiv.2101.07922openalex-extracted
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
inferredcites →https://doi.org/10.48550/arxiv.2206.12590openalex-extracted
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
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