Framartin / lgv-geometric-transferabilityView external linksLinks
Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
☆18Mar 12, 2025Updated 11 months ago
Alternatives and similar repositories for lgv-geometric-transferability
Users that are interested in lgv-geometric-transferability are comparing it to the libraries listed below
Sorting:
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 2 years ago
- ☆35Dec 16, 2022Updated 3 years ago
- Code for our NeurIPS 2023 paper Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly☆14Jan 22, 2024Updated 2 years ago
- Code for "Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes"☆15Dec 20, 2020Updated 5 years ago
- Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)☆35Mar 29, 2023Updated 2 years ago
- ☆128Sep 25, 2025Updated 4 months ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆11Mar 9, 2021Updated 4 years ago
- Implementation of Boundary Attributions for Normal (Vector) Explanations☆11Aug 13, 2021Updated 4 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Feb 10, 2023Updated 3 years ago
- TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.☆440Jan 16, 2026Updated last month
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆24Oct 16, 2022Updated 3 years ago
- ☆15Apr 7, 2023Updated 2 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆34Feb 23, 2024Updated last year
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆35Jan 9, 2023Updated 3 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Nov 17, 2022Updated 3 years ago
- Official repository for "Boosting Adversarial Transferability using Dynamic Cues " (ICLR 2023)☆20Aug 24, 2023Updated 2 years ago
- Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'☆27Mar 16, 2022Updated 3 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆64Jul 7, 2021Updated 4 years ago
- code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.☆17Dec 8, 2022Updated 3 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆115Jul 21, 2022Updated 3 years ago
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆73Nov 19, 2022Updated 3 years ago
- Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5…☆21Nov 11, 2019Updated 6 years ago
- ☆18Mar 24, 2023Updated 2 years ago
- PyTorch adversarial attack baselines for ImageNet, CIFAR10, and MNIST (state-of-the-art attacks comparison)☆20Mar 12, 2021Updated 4 years ago
- [NeurIPS 2022] GAMA: Generative Adversarial Multi-Object Scene Attacks☆19Sep 5, 2023Updated 2 years ago
- ☆53May 24, 2023Updated 2 years ago
- ☆20Jan 13, 2024Updated 2 years ago
- [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method☆23May 25, 2023Updated 2 years ago
- The code of ICCV2021 paper "Meta Gradient Adversarial Attack"☆26Dec 11, 2021Updated 4 years ago
- A package that achieves 95%+ transfer attack success rate against GPT-4☆26Oct 24, 2024Updated last year
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆24May 25, 2023Updated 2 years ago
- ☆22Dec 12, 2022Updated 3 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Nov 18, 2024Updated last year
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆26Jun 30, 2020Updated 5 years ago
- Scaleable input gradient regularization☆22Jul 8, 2019Updated 6 years ago
- ☆26Dec 23, 2021Updated 4 years ago
- Public repo for transferability ICLR 2017 paper☆53Jan 3, 2019Updated 7 years ago
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Jan 13, 2023Updated 3 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Jan 7, 2022Updated 4 years ago