Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".
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Updated
Sep 11, 2020 - MATLAB
Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".
PyTorch Implementation of Stereoscopic Universal Perturbations across Different Architectures and Datasets (CVPR 2022)
Evaluation of various defence mechanisms and various UAPs. Done as a part of GD-UAP.
Official implementation of "Resilience of Autonomous Vehicle Object Category Detections to Universal Adversarial Perturbations"
Generalized Data-free Universal Adversarial Perturbations in PyTorch
Universal adversarial attack on NLP model
Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation
Universal Adversarial Perturbations (UAPs) for PyTorch
Universal Adversarial Audio Perturbations
Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)
Generalized Data-free Universal Adversarial Perturbations
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