P2333 / Reverse-Cross-Entropy
Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)
☆45Updated 3 years ago
Alternatives and similar repositories for Reverse-Cross-Entropy:
Users that are interested in Reverse-Cross-Entropy are comparing it to the libraries listed below
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Updated 4 years ago
- PyTorch implementation of "Feature Denoising for Improving Adversarial Robustness" on CIFAR10.☆36Updated 4 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆28Updated 3 years ago
- ☆22Updated 4 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆36Updated 3 months ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 3 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 5 years ago
- ☆35Updated 4 years ago
- Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder(CVPR2020)☆11Updated 4 years ago
- This is the code for semi-supervised robust training (SRT).☆18Updated last year
- Codes for our ICLR2020 paper: Knowledge Consistency between Neural Networks and Beyond☆16Updated 5 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆50Updated 4 years ago
- A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"☆50Updated 4 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆44Updated 3 years ago
- ☆45Updated 5 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 5 years ago
- GreedyFool (NIPS2020) official code for saprse adversarial attack☆35Updated 4 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆95Updated 3 years ago
- LAFEAT: Piercing Through Adversarial Defenses with Latent Features (CVPR 2021 Oral)☆17Updated 3 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Updated 4 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆85Updated 3 years ago
- CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection☆20Updated 3 years ago
- The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]☆15Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆99Updated 3 years ago
- [ECCV 2020] Pytorch codes for Open-set Adversarial Defense☆23Updated 2 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 6 years ago
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Updated 4 years ago
- StrAttack, ICLR 2019☆33Updated 5 years ago