YisenWang / dynamic_adv_trainingView external linksLinks
Code for ICML2019 Paper "On the Convergence and Robustness of Adversarial Training"
☆34Apr 28, 2020Updated 5 years ago
Alternatives and similar repositories for dynamic_adv_training
Users that are interested in dynamic_adv_training are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of NPAttack☆12Jul 7, 2020Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆152Oct 15, 2020Updated 5 years ago
- Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"☆189Feb 18, 2021Updated 4 years ago
- Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)☆11Aug 29, 2020Updated 5 years ago
- Code for CVPR2018 "Iterative Learning with Open-set Noisy Labels"☆12Mar 12, 2021Updated 4 years ago
- Code for NeurIPS 2024 Paper "Fight Back Against Jailbreaking via Prompt Adversarial Tuning"☆22May 6, 2025Updated 9 months ago
- Strongest attack against Feature Scatter and Adversarial Interpolation☆25Dec 26, 2019Updated 6 years ago
- Code release for RobOT (ICSE'21)☆15Dec 5, 2022Updated 3 years ago
- Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.☆12Jul 1, 2022Updated 3 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆552Mar 30, 2023Updated 2 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Mar 30, 2020Updated 5 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Mar 20, 2020Updated 5 years ago
- Official Code for ICLR 2023 Paper: A Message Passing Perspective on Learning Dynamics of Contrastive Learning☆11Mar 9, 2023Updated 2 years ago
- ☆12Sep 10, 2024Updated last year
- this is for the ACM MM paper---Backdoor Attack on Crowd Counting☆17Jul 10, 2022Updated 3 years ago
- ☆48Feb 9, 2021Updated 5 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆125Nov 4, 2020Updated 5 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 3 years ago
- ☆11Apr 27, 2022Updated 3 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"☆171Jun 16, 2021Updated 4 years ago
- Official Code for reproductivity of the NeurIPS 2023 paper: Adversarial Examples Are Not Real Features☆16Jun 27, 2024Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Jan 11, 2025Updated last year
- Empirical tricks for training robust models (ICLR 2021)☆258May 25, 2023Updated 2 years ago
- [ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"☆18Feb 19, 2023Updated 2 years ago
- Code for "Neural Tangent Generalization Attacks" (ICML 2021)☆41Jul 29, 2021Updated 4 years ago
- PyTorch Implementation of Adversarial Training for Free!☆248Aug 22, 2021Updated 4 years ago
- ☆162Feb 26, 2021Updated 4 years ago
- All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks☆18Apr 24, 2024Updated last year
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆169Jul 5, 2024Updated last year
- SEAT☆21Oct 10, 2023Updated 2 years ago
- [ICLR 2020] A repository for extremely fast adversarial training using FGSM☆449Jul 25, 2024Updated last year
- ☆20Mar 14, 2025Updated 11 months ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Aug 29, 2021Updated 4 years ago
- Spatially Transformed Adversarial Examples with TensorFlow☆75Nov 3, 2018Updated 7 years ago
- The official implementation of A Unified Game-Theoretic Interpretation of Adversarial Robustness.☆22Jun 9, 2022Updated 3 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Sep 13, 2023Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle☆179Jul 25, 2024Updated last year