Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
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Dec 16, 2022 - Python
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black-box-attack
Here are 5 public repositories matching this topic...
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.
data-augmentation adversarial-attacks adversarial-training gradient-regularization black-box-attack transfer-attack sharpness-aware-minimization distribution-shift
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Aug 22, 2024 - Python
KENKU: Towards Efficient and Stealthy Black-box Adversarial Attacks against ASR Systems
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Oct 3, 2023 - Python
[DSN 2024] Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
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Jul 11, 2024 - Python
PyTorch implementation of “Conditional Adversarial Camera Model Anonymization” (ECCV 2020 Advances in Image Manipulation Workshop)
image-editing image-manipulation conditional-gan camera-model-identification adversarial-training non-interactive camera-model-attribution black-box-attack camera-model-anonymization targeted-transformations
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Jan 22, 2021 - Python
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