VL-Group/GAKer

(ECCV2024) Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection

Language: Python - Size: 3.55 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

alexklwong/targeted-adversarial-perturbations-monocular-depth

PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)

Language: HTML - Size: 29 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 3

aaronchong888/Targeted-Adversarial-Attacks

A Python sample for demonstrating Targeted Adversarial Attack - manipulate a source image to be classified as a specified target class by the machine learning classifier

Language: Python - Size: 160 KB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

qilong-zhang/Targeted_Patch-wise-plusplus_iterative_attack

The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack.

Language: Python - Size: 146 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 2

Moukhik20/Assessing-the-Impact-of-Adversarial-Attacks-on-Logistic-Regression-Model

Language: Jupyter Notebook - Size: 2.63 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

quqixun/AdversarialAttack

Attack models that are pretrained on ImageNet. (1) Attack single model or multiple models. (2) Apply white-box attacks or black-box attacks. (3) Apply non-targeted attacks or targeted attacks.

Language: Python - Size: 1.42 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0