xingjunm / lid_adversarial_subspace_detectionView external linksLinks
Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
☆125Nov 4, 2020Updated 5 years ago
Alternatives and similar repositories for lid_adversarial_subspace_detection
Users that are interested in lid_adversarial_subspace_detection are comparing it to the libraries listed below
Sorting:
- Code for "Detecting Adversarial Samples from Artifacts" (Feinman et al., 2017)☆111Feb 14, 2018Updated 7 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Jun 11, 2024Updated last year
- Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)☆11Aug 29, 2020Updated 5 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆188Apr 4, 2023Updated 2 years ago
- ☆42Sep 9, 2023Updated 2 years ago
- Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".☆350Aug 13, 2019Updated 6 years ago
- Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"☆34Apr 28, 2020Updated 5 years ago
- Visualization of Adversarial Examples☆34Oct 14, 2018Updated 7 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆90Nov 1, 2017Updated 8 years ago
- ☆11Mar 24, 2023Updated 2 years ago
- ☆88Feb 6, 2021Updated 5 years ago
- Robust evasion attacks against neural network to find adversarial examples☆857Jun 1, 2021Updated 4 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆449Jul 25, 2024Updated last year
- MagNet: a Two-Pronged Defense against Adversarial Examples☆101Oct 13, 2018Updated 7 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆46Jan 18, 2022Updated 4 years ago
- white box adversarial attack☆38Jan 30, 2021Updated 5 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 4 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆189Feb 18, 2021Updated 4 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Jun 7, 2021Updated 4 years ago
- Detect adversarial images from intermediate features in distance space☆12Aug 22, 2018Updated 7 years ago
- ☆11Jan 25, 2022Updated 4 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Dec 12, 2020Updated 5 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆552Mar 30, 2023Updated 2 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆169Jul 5, 2024Updated last year
- Adversarial Distributional Training (NeurIPS 2020)☆63Mar 17, 2021Updated 4 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Feb 18, 2021Updated 4 years ago
- The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL☆237Mar 27, 2018Updated 7 years ago
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆48Apr 27, 2022Updated 3 years ago
- Mitigating Adversarial Effects Through Randomization☆120Mar 20, 2018Updated 7 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆505Aug 30, 2021Updated 4 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆128Jan 18, 2022Updated 4 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆170Aug 3, 2021Updated 4 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Feb 25, 2018Updated 7 years ago
- A repository for the query-efficient black-box attack, SignHunter☆23Jan 15, 2020Updated 6 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Apr 27, 2022Updated 3 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Oct 17, 2018Updated 7 years ago
- ☆16Feb 20, 2020Updated 5 years ago