vsingh-group / LCODEC-deep-unlearning
Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
☆24Updated 2 years ago
Related projects: ⓘ
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆45Updated 2 years ago
- Official implementation of "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models"☆17Updated last month
- ☆16Updated last year
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆28Updated 3 months ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆29Updated 10 months ago
- ☆56Updated last year
- ☆20Updated 10 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆50Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆20Updated 2 years ago
- ☆9Updated last year
- Testing a model performance for CIFAR10-C☆33Updated 4 years ago
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆38Updated last year
- ☆24Updated last year
- ☆52Updated last year
- ☆79Updated last year
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated last year
- ☆27Updated 2 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆15Updated last year
- Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)☆69Updated last year
- Query-Efficient Data-Free Learning from Black-Box Models☆19Updated last year
- ☆32Updated 3 years ago
- Data-Efficient Backdoor Attacks☆18Updated 2 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆43Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆105Updated 11 months ago
- ☆40Updated 7 months ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆40Updated last year
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆37Updated 3 years ago
- ☆12Updated 2 years ago
- Code for the CVPR '23 paper, "Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning"☆10Updated last year