Alternatives and similar repositories for LCODEC-deep-unlearning

Users that are interested in LCODEC-deep-unlearning are comparing it to the libraries listed below

• LijieFan / AdvCL
  [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
  ☆48Updated 4 years ago
• conditionWang / NTL
  This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…
  ☆30Updated 2 years ago
• mo666666 / When-Adversarial-Training-Meets-Vision-Transformers
  Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…
  ☆37Updated last year
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆115Updated 2 years ago
• Muzammal-Naseer / ATViT
  Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)
  ☆72Updated 3 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆46Updated 4 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆81Updated last year
• kai-wen-yang / CD-VAE
  [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"
  ☆46Updated 3 years ago
• ziquanliu / CVPR2023-TWINS
  Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023
  ☆13Updated 2 years ago
• justincui03 / dc_benchmark
  ☆89Updated 2 years ago
• sdh0818 / FreD
  Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]
  ☆30Updated last year
• alinlab / consistency-adversarial
  Consistency Regularization for Adversarial Robustness (AAAI 2022)
  ☆53Updated 4 years ago
• zhangmarvin / memo
  ☆70Updated 2 years ago
• chenweixin107 / TrojDiff
  ☆59Updated 3 years ago
• wzekai99 / DM-Improves-AT
  Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)
  ☆146Updated 2 years ago
• vinusankars / Convolution-based-Unlearnability
  ☆19Updated 2 years ago
• inspire-group / tta_risk
  ☆14Updated 2 years ago
• PKU-ML / CFA
  ☆20Updated 9 months ago
• danielchyeh / ImageNet-100-Pytorch
  (Pytorch) Training ResNets on ImageNet-100 data
  ☆63Updated 3 years ago
• QizhouWang / DOE
  ☆26Updated 2 years ago
• kakaoenterprise / Learning-Debiased-Disentangled
  Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"
  ☆105Updated 2 years ago
• tanimutomo / cifar10-c-eval
  Testing a model performance for CIFAR10-C
  ☆35Updated 5 years ago
• Yujun-Shi / FedCLS
  [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…
  ☆40Updated 2 years ago
• Leebh-kor / Simple-code-Visualizing-the-Loss-Landscape-of-Neural-Nets
  Reimplmentation of Visualizing the Loss Landscape of Neural Nets with PyTorch 1.8
  ☆30Updated 3 years ago
• Muzammal-Naseer / TTP
  Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)
  ☆62Updated 2 years ago
• TouchSky-Lab / Awesome-Data-Free-Knowledge-Distillation
  Data-Free Knowledge Distillation
  ☆22Updated 3 years ago
• pantheon5100 / DeACL
  This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…
  ☆19Updated last year
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆33Updated 2 years ago
• PKU-ML / DYNACL
  [ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"
  ☆18Updated 2 years ago
• RulinShao / on-the-adversarial-robustness-of-visual-transformer
  Code for the paper "On the Adversarial Robustness of Visual Transformers"
  ☆59Updated 4 years ago