A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.
☆78Dec 5, 2022Updated 3 years ago
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- Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.☆95Dec 1, 2022Updated 3 years ago
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- Code for identifying natural backdoors in existing image datasets.☆15Aug 24, 2022Updated 4 years ago
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- SaTML 2023, 1st place in CVPR’21 Security AI Challenger: Unrestricted Adversarial Attacks on ImageNet.☆29Dec 29, 2022Updated 3 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆29Aug 17, 2023Updated 3 years ago
- [NeurIPS'2023] Official Code Repo:Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability☆120Oct 31, 2023Updated 2 years ago
- A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.☆529Oct 15, 2023Updated 3 years ago
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆27Mar 16, 2022Updated 4 years ago
- The implementatin of our ICLR 2021 work: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits☆19Jul 20, 2021Updated 5 years ago
- Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.☆94Mar 13, 2022Updated 4 years ago
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- A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations…☆347Jan 29, 2023Updated 3 years ago
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