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GitHub topics: black-box-attack

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

x-zheng16/IMAP

[DSN 2024] Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy

Language: Python - Size: 3.8 MB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Xinghui-Wu/KENKU

KENKU: Towards Efficient and Stealthy Black-box Adversarial Attacks against ASR Systems

Language: Python - Size: 3.74 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - 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

Related Keywords
black-box-attack 4 adversarial-attacks 2 transfer-attack 2 adversarial-training 1 data-augmentation 1 distribution-shift 1 gradient-regularization 1 sharpness-aware-minimization 1 adversarial-policy 1 intrinsic-motivation 1 reinforcement-learning 1 asr 1 audio-adversarial-examples 1 feature-extraction 1 adversarial-machine-learning 1