Detection by Attack: Detecting Adversarial Samples by Undercover Attack
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Updated
Feb 13, 2021 - Python
Detection by Attack: Detecting Adversarial Samples by Undercover Attack
Adversarial detection and defense for deep learning systems using robust feature alignment
A Man-in-the-Middle Attack against Object Detection.
Adversarial Detection in ROS Gazebo.
Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"
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.
Adversarial Detection v.s. Object Detection.
Gaussian process regression-based adversarial image detection
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.
CSL7360 Course Project Repository
Using Gaussian Processes for Deep Neural Network Predictive Uncertainty Estimation
An University Project for the AI4Cybersecurity class.
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