Official implementation of "Resilience of Autonomous Vehicle Object Category Detections to Universal Adversarial Perturbations"
-
Updated
Dec 2, 2023 - Jupyter Notebook
Official implementation of "Resilience of Autonomous Vehicle Object Category Detections to Universal Adversarial Perturbations"
Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)
Universal Adversarial Perturbations (UAPs) for PyTorch
Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
Generalized Data-free Universal Adversarial Perturbations in PyTorch
Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".
Universal Adversarial Audio Perturbations
Universal adversarial attack on NLP model
Generalized Data-free Universal Adversarial Perturbations
Evaluation of various defence mechanisms and various UAPs. Done as a part of GD-UAP.
Add a description, image, and links to the universal-adversarial-perturbations topic page so that developers can more easily learn about it.
To associate your repository with the universal-adversarial-perturbations topic, visit your repo's landing page and select "manage topics."