GitHub topics: transfer-attack
Trustworthy-AI-Group/TransferAttack
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
Language: Python - Size: 2.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 304 - Forks: 43
CGCL-codes/TransferAttackSurrogates
The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.
Language: Python - Size: 147 KB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 14 - Forks: 3
yunyuntsai/DNN-Model-Stealing
Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 3
wagner-group/pubdef
Official code for "PubDef: Defending Against Transfer Attacks From Public Models" (ICLR 2024)
Language: Python - Size: 206 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1
dreamflake/CFM
[CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method
Language: Python - Size: 20.2 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
Alan-Qin/Transfer_attack_RAP
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
Language: Python - Size: 22.5 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 0
