Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
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Updated
Dec 16, 2022 - Python
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
KENKU: Towards Efficient and Stealthy Black-box Adversarial Attacks against ASR Systems
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.
PyTorch implementation of “Conditional Adversarial Camera Model Anonymization” (ECCV 2020 Advances in Image Manipulation Workshop)
[DSN 2024] Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
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