AKuzina / defend_vae_mcmcLinks
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
Sorting:
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆43Updated 2 years ago
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆48Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆76Updated last year
- ICLR 2023 paper "Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness" by Yuancheng Xu, Yanchao Sun, Micah Gold…☆25Updated 2 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Updated last year
- [TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces☆42Updated 3 years ago
- ☆34Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- Implementation of "Adversarial purification with Score-based generative models", ICML 2021☆30Updated 3 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- ☆46Updated 11 months ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆31Updated last year
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- ☆57Updated 5 years ago
- ☆58Updated last year
- Source code of "What can linearized neural networks actually say about generalization?☆20Updated 3 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆22Updated 2 months ago
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Updated 5 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Updated last year
- ☆33Updated last year
- ☆13Updated 2 years ago
- Distilling Model Failures as Directions in Latent Space☆47Updated 2 years ago
- ☆25Updated last year
- ☆24Updated last year
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated 2 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 3 years ago
- [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting☆16Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆142Updated 2 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆58Updated 3 years ago