Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
☆46Feb 24, 2022Updated 4 years ago
Alternatives and similar repositories for sparse-rs
Users that are interested in sparse-rs are comparing it to the libraries listed below
Sorting:
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆170Jul 2, 2020Updated 5 years ago
- RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)☆57Nov 5, 2020Updated 5 years ago
- Code for FAB-attack☆34Jul 10, 2020Updated 5 years ago
- Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.☆47Oct 3, 2023Updated 2 years ago
- ☆13Jun 23, 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
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆49Oct 3, 2023Updated 2 years ago
- SGD with large step sizes learns sparse features [ICML 2023]☆33Apr 24, 2023Updated 2 years ago
- Understanding and Improving Fast Adversarial Training [NeurIPS 2020]☆96Sep 23, 2021Updated 4 years ago
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆43Nov 8, 2020Updated 5 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆20Oct 20, 2021Updated 4 years ago
- ☆46May 8, 2024Updated last year
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆21Dec 10, 2021Updated 4 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- The code for the paper titled as "DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space".☆23Feb 10, 2025Updated last year
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆39Dec 3, 2024Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Sep 11, 2023Updated 2 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Nov 23, 2020Updated 5 years ago
- Targeted black-box adversarial attack using Bayesian Optimization☆38Jun 14, 2020Updated 5 years ago
- Code for Black-Box Adversarial Attack with Transferable Model-based Embedding☆58Jun 3, 2020Updated 5 years ago
- ☆38Jun 10, 2021Updated 4 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆61May 14, 2019Updated 6 years ago
- Proof of concept code for VoteAgain paper☆10Jul 23, 2023Updated 2 years ago
- ☆12Feb 19, 2025Updated last year
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Dec 16, 2019Updated 6 years ago
- Code repository for Blackbox Attacks via Surrogate Ensemble Search (BASES), NeurIPS 2022☆13Aug 6, 2024Updated last year
- Code for the ICCV 2021 paper "Augmented Lagrangian Adversarial Attacks"☆24Mar 28, 2024Updated last year
- [AAAI2022] Code Release of Attacking Video Recognition Models with Bullet-Screen Comments☆25Mar 30, 2024Updated last year
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Aug 3, 2020Updated 5 years ago
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- ☆14Oct 6, 2024Updated last year
- Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)☆11Aug 29, 2020Updated 5 years ago
- code of paper "Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM"☆14Nov 17, 2023Updated 2 years ago
- The project page of paper: Aha! Adaptive History-driven Attack for Decision-based Black-box Models [ICCV 2021]☆10Feb 23, 2022Updated 4 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- Code repository for Ensemble-based Blackbox Attacks on Dense Prediction (EBAD), CVPR 2023☆27May 17, 2024Updated last year