Detection by Attack: Detecting Adversarial Samples by Undercover Attack
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Feb 13, 2021 - Python
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adversarial-detection
Here are 12 public repositories matching this topic...
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
uncertainty-quantification bayesian-neural-networks bayesian-deep-learning fine-tuning adversarial-detection ood-detection
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Jul 25, 2024 - Python
Adversarial detection and defense for deep learning systems using robust feature alignment
python machine-learning data-mining deep-learning neural-network robustness adversarial-attacks adversarial-defense adversarial-detection
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Nov 10, 2020 - Jupyter Notebook
Adversarial Detection v.s. Object Detection.
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Jul 29, 2023 - Jupyter Notebook
A Man-in-the-Middle Attack against Object Detection.
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Feb 5, 2024 - C
Adversarial Detection in ROS Gazebo.
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Jul 29, 2023 - Python
Gaussian process regression-based adversarial image detection
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Mar 24, 2023 - Python
Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation
deep-neural-networks dnn ensemble gaussian-processes adversarial-machine-learning adversarial-attacks adversarial-defense adversarial-detection hybrid-models uncertainty-estimations gpc-models predictive-uncertainty gp-dnn
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Mar 21, 2019 - Python
This work demonstrates an altogether different utility of attention heads. Self-attention heads are characteristic of Transformer models and have been well studied for interpretability and pruning, but here we build a novel adversarial detection model based on them.
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Mar 9, 2022 - Python
An University Project for the AI4Cybersecurity class.
art resnet-50 face-identification adversarial-machine-learning adversarial-attacks adversarial-detection pgd-adversarial-attacks adversarial-robustness-toolbox evasion-attack fgsm-attack bim-attack adversarial-faces
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Jun 22, 2022 - Jupyter Notebook
CSL7360 Course Project Repository
computer-vision classification sift 3d-reconstruction sift-descriptors fingerprint-matching adversarial-detection
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May 6, 2024 - Jupyter Notebook
This work demonstrates an altogether different utility of attention heads. Self-attention heads are characteristic of Transformer models and have been well studied for interpretability and pruning, but here we build a novel adversarial detection model based on them.
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Nov 19, 2021 - Python
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