AKuzina / defend_vae_mcmc
Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://arxiv.org/abs/2203.09940
☆10Updated 2 years ago
Alternatives and similar repositories for defend_vae_mcmc:
Users that are interested in defend_vae_mcmc are comparing it to the libraries listed below
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆38Updated last year
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆18Updated 2 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 3 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆30Updated last year
- Implementation of "Adversarial purification with Score-based generative models", ICML 2021☆29Updated 3 years ago
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆24Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 2 years ago
- ☆34Updated last year
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 4 years ago
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆40Updated 2 years ago
- ☆17Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆24Updated 4 years ago
- [ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies☆22Updated 2 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆24Updated last year
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 5 months ago
- source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"☆23Updated 8 months ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆23Updated 2 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆46Updated 3 years ago
- ☆33Updated last year
- Distilling Model Failures as Directions in Latent Space☆46Updated 2 years ago
- Deep Learning & Information Bottleneck☆58Updated last year
- An implementation of the penalty-based bilevel gradient descent (PBGD) algorithm and the iterative differentiation (ITD/RHG) methods.☆17Updated 2 years ago
- Code for paper 'ZO-AdaMM: Zeroth-Order Adaptive MomentumMethod for Black-Box Optimization'☆28Updated 4 years ago
- ☆13Updated 8 months ago
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 3 years ago