Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
☆36May 29, 2022Updated 3 years ago
Alternatives and similar repositories for barlow
Users that are interested in barlow are comparing it to the libraries listed below
Sorting:
- ☆38Jun 10, 2021Updated 4 years ago
- Code of the paper "Part Detector Discovery in Deep Convolutional Neural Networks" by Marcel Simon, Erik Rodner and Joachim Denzler☆17Nov 12, 2014Updated 11 years ago
- A fast and efficient way to compute a differentiable bound on the singular values of convolution layers☆12Nov 22, 2019Updated 6 years ago
- Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".☆13Sep 11, 2020Updated 5 years ago
- code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"☆54Mar 25, 2022Updated 3 years ago
- source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"☆33May 13, 2023Updated 2 years ago
- Analyze AdaHessian optimizer on 2D functions.☆13Aug 13, 2021Updated 4 years ago
- ☆18Oct 29, 2021Updated 4 years ago
- Learning perturbation sets for robust machine learning☆65Aug 23, 2021Updated 4 years ago
- ☆13Jun 18, 2021Updated 4 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45May 29, 2023Updated 2 years ago
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆71Jun 8, 2022Updated 3 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Aug 8, 2018Updated 7 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- Model Merging with Functional Dual Anchors☆45Nov 23, 2025Updated 3 months ago
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆21Oct 1, 2022Updated 3 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Dec 10, 2021Updated 4 years ago
- [CVPR'19] Trust Region Based Adversarial Attack☆20Dec 11, 2020Updated 5 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Nov 21, 2021Updated 4 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Dec 11, 2020Updated 5 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆25May 27, 2025Updated 9 months ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆62Mar 25, 2023Updated 2 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆170Jul 5, 2024Updated last year
- Max Mahalanobis Training (ICML 2018 + ICLR 2020)☆90Dec 21, 2020Updated 5 years ago
- [NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State☆29Oct 24, 2021Updated 4 years ago
- ☆27Nov 9, 2022Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 4 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Oct 11, 2019Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"☆30Aug 17, 2023Updated 2 years ago
- HKBU PhD/MPhil thesis template as well as key steps for submission☆37Sep 27, 2022Updated 3 years ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆72Nov 19, 2022Updated 3 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Apr 23, 2022Updated 3 years ago
- Implementation of the CVPR2025 paper LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty.☆17Sep 10, 2025Updated 5 months ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Feb 1, 2022Updated 4 years ago
- [NeurIPS'20] Learning Black-Box Attackers with Transferable Priors and Query Feedback☆35Mar 8, 2021Updated 4 years ago
- Learnable Boundary Guided Adversarial Training (ICCV2021)☆38Dec 9, 2024Updated last year
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆225Apr 16, 2020Updated 5 years ago