A fast sparse attack on deep neural networks.
☆51Sep 27, 2020Updated 5 years ago
Alternatives and similar repositories for SparseFool
Users that are interested in SparseFool are comparing it to the libraries listed below
Sorting:
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆43Nov 8, 2020Updated 5 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Dec 10, 2021Updated 4 years ago
- Source code for "Neural Anisotropy Directions"☆16Nov 17, 2020Updated 5 years ago
- StrAttack, ICLR 2019☆33Aug 4, 2019Updated 6 years ago
- Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"☆24Mar 28, 2024Updated last year
- Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"☆51Nov 2, 2020Updated 5 years ago
- Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"☆27Aug 18, 2020Updated 5 years ago
- An efficient adversarial defense method with strong insights which won the fifth place of the IJCAI-2019 Alibaba Adversarial AI Challen…☆12Oct 25, 2019Updated 6 years ago
- ☆25May 20, 2020Updated 5 years ago
- Universal Adversarial Networks☆32Jul 30, 2018Updated 7 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆20Oct 20, 2021Updated 4 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 7 years ago
- Code for FAB-attack☆34Jul 10, 2020Updated 5 years ago
- Vision based algorithms for falsification of convolutional neural networks☆12Jan 25, 2018Updated 8 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60May 14, 2019Updated 6 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆139Mar 30, 2020Updated 5 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- Tensorflow implementation of Fast Geometrically-Perturbed Adversarial Faces☆27Jan 6, 2022Updated 4 years ago
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 2 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- ☆162Feb 26, 2021Updated 5 years ago
- Generalized Data-free Universal Adversarial Perturbations☆73Oct 5, 2018Updated 7 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 5 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆49Dec 30, 2021Updated 4 years ago
- ☆14Jun 5, 2020Updated 5 years ago
- Improving Transferability of Adversarial Examples with Input Diversity☆168Apr 30, 2019Updated 6 years ago
- Tensorflow implementation for the ECCV20 paper "Improving Adversarial Robustness by Enforcing Local and Global Compactness"☆15Jun 13, 2021Updated 4 years ago
- Tensorflow code for Sparse Adversarial Perturbations for Videos☆23Mar 8, 2019Updated 7 years ago
- Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks☆43Feb 7, 2019Updated 7 years ago
- Efficient empirical NTKs in PyTorch☆22Jun 13, 2022Updated 3 years ago
- Physical adversarial attack for fooling the Faster R-CNN object detector☆167Jan 13, 2020Updated 6 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".☆13Sep 11, 2020Updated 5 years ago
- PyTorch implementation of EdgeFool: An Adversarial Image Enhancement Filter, ICASSP2020☆26Feb 14, 2020Updated 6 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆37Aug 17, 2020Updated 5 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆14Jan 6, 2022Updated 4 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Jul 15, 2020Updated 5 years ago
- ☆15Jul 24, 2022Updated 3 years ago