Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
☆34Apr 1, 2020Updated 5 years ago
Alternatives and similar repositories for mma_training
Users that are interested in mma_training are comparing it to the libraries listed below
Sorting:
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Aug 16, 2020Updated 5 years ago
- Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"☆153Oct 15, 2020Updated 5 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated last year
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 5 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆26Dec 30, 2021Updated 4 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Apr 13, 2021Updated 4 years ago
- Adversarial Defense for Ensemble Models (ICML 2019)☆61Nov 28, 2020Updated 5 years ago
- ☆39Jan 24, 2020Updated 6 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Nov 21, 2019Updated 6 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 5 years ago
- TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)☆553Mar 30, 2023Updated 2 years ago
- This repository contains the pytorch attempts to replicate the results from the recent DeepMind Paper, "On the Effectiveness of Interval …☆10May 27, 2019Updated 6 years ago
- [IROS 2021] ADD: A Fine-grained Dynamic Inference Architecture for Semantic Image Segmentation☆10May 3, 2022Updated 3 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Dec 16, 2019Updated 6 years ago
- Spell and pronounce words with a neural network☆10Feb 13, 2017Updated 9 years ago
- ☆10Sep 25, 2019Updated 6 years 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
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Dec 23, 2020Updated 5 years ago
- Analysis of Adversarial Logit Pairing☆60Aug 13, 2018Updated 7 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Sep 13, 2023Updated 2 years ago
- Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples…☆98Mar 4, 2022Updated 3 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"☆741May 16, 2024Updated last year
- Code for Active Mixup in 2020 CVPR☆23Jan 11, 2022Updated 4 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Nov 21, 2021Updated 4 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆54Feb 6, 2023Updated 3 years ago
- Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks☆24Dec 11, 2020Updated 5 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 3 years ago
- Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"☆12Aug 17, 2021Updated 4 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.☆13Jun 10, 2019Updated 6 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Dec 8, 2022Updated 3 years ago
- Code for the ICLR 2022 paper "Attacking deep networks with surrogate-based adversarial black-box methods is easy"☆10Oct 16, 2025Updated 4 months ago
- ☆12Mar 15, 2019Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 3 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Apr 22, 2022Updated 3 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Mar 2, 2022Updated 4 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆11Feb 5, 2020Updated 6 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 6 years ago