[Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
☆17Jul 5, 2024Updated last year
Alternatives and similar repositories for MDAttack
Users that are interested in MDAttack are comparing it to the libraries listed below
Sorting:
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated last year
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Oct 29, 2025Updated 4 months ago
- ☆11Jan 25, 2022Updated 4 years ago
- Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)☆11Aug 29, 2020Updated 5 years ago
- this is for the ACM MM paper---Backdoor Attack on Crowd Counting☆17Jul 10, 2022Updated 3 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆170Jul 5, 2024Updated last year
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆33Dec 2, 2023Updated 2 years ago
- Tensorflow implementation of "Defense against Universal Adversarial Perturbations"☆10Apr 16, 2018Updated 7 years ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)☆32Apr 25, 2023Updated 2 years ago
- ZOSVRG-BlackBox-Adv☆13Oct 30, 2018Updated 7 years ago
- Code for the NeurIPS 2019 submission: "Improving Black-box Adversarial Attacks with a Transfer-based Prior".☆16May 6, 2020Updated 5 years ago
- This is the repository for the AI2019, tutorial on adversarial machine learning☆17Jul 20, 2020Updated 5 years ago
- SaTML'23 paper "Backdoor Attacks on Time Series: A Generative Approach" by Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bail…☆21Feb 5, 2023Updated 3 years ago
- [ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"☆49Jul 20, 2024Updated last year
- ☆25Feb 19, 2025Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Feb 10, 2023Updated 3 years ago
- Code for Transferable Unlearnable Examples☆22Mar 11, 2023Updated 2 years ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆22Apr 25, 2023Updated 2 years ago
- Black-box Adversarial Attacks on Video Recognition Models. (VBAD)☆27Oct 28, 2019Updated 6 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
- ☆27Nov 9, 2022Updated 3 years ago
- Learning perturbation sets for robust machine learning☆65Aug 23, 2021Updated 4 years ago
- Implementation of the Biased Boundary Attack for ImageNet☆22Aug 18, 2019Updated 6 years ago
- Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural trai…☆177May 3, 2024Updated last year
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial exam…☆36Mar 14, 2021Updated 4 years ago
- The implementation of our paper: Composite Adversarial Attacks (AAAI2021)☆30Feb 1, 2022Updated 4 years ago
- Self-hosted Todolist app written in Python☆10Apr 16, 2021Updated 4 years ago
- Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition, CVPR 2023, Highlight☆46Aug 12, 2023Updated 2 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Jul 5, 2024Updated last year
- Feature Scattering Adversarial Training (NeurIPS19)☆74Jun 1, 2024Updated last year
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- ☆10May 18, 2024Updated last year
- Code for FAB-attack☆34Jul 10, 2020Updated 5 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago
- SurFree: a fast surrogate-free black-box attack☆44Jun 27, 2024Updated last year
- ☆88Jul 25, 2024Updated last year