Alternatives and similar repositories for Critical-Path-Pruning

Users that are interested in Critical-Path-Pruning are comparing it to the libraries listed below

• PKUAI26 / AT-CNN
  Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
  ☆66Updated 5 years ago
• P2333 / Mixup-Inference
  Further improve robustness of mixup-trained models in inference (ICLR 2020)
  ☆60Updated 4 years ago
• sunblaze-ucb / curriculum-adversarial-training-CAT
  ☆14Updated 6 years ago
• P2333 / Adaptive-Diversity-Promoting
  Adversarial Defense for Ensemble Models (ICML 2019)
  ☆61Updated 4 years ago
• elliothe / CVPR_2019_PNI
  pytorch implementation of Parametric Noise Injection for adversarial defense
  ☆43Updated 5 years ago
• karandwivedi42 / adversarial
  Pytorch - Adversarial Training
  ☆26Updated 7 years ago
• ZhaoyangLyu / POPQORN
  An Algorithm to Quantify Robustness of Recurrent Neural Networks
  ☆48Updated 5 years ago
• VITA-Group / Adversarial-Contrastive-Learning
  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
  ☆114Updated 3 years ago
• yaircarmon / semisup-adv
  Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf
  ☆142Updated 5 years ago
• bfshi / InfoDrop
  Code for our paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective" (ICML 2020)
  ☆125Updated 2 years ago
• columbia / Metric_Learning_Adversarial_Robustness
  Code for NeurIPS 2019 Paper
  ☆47Updated 5 years ago
• KaidiXu / StrAttack
  StrAttack, ICLR 2019
  ☆33Updated 5 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆45Updated 5 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• tingxueronghua / pytorch-classification-advprop
  ☆107Updated 3 years ago
• LiYingwei / Regional-Homogeneity
  Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)
  ☆41Updated 6 years ago
• YyzHarry / ME-Net
  [ICML 2019] ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
  ☆54Updated last week
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆50Updated 4 years ago
• aamir-mustafa / pcl-adversarial-defense
  Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019
  ☆58Updated 5 years ago
• Cold-Winter / Nattack
  ☆48Updated 4 years ago
• cihangxie / SmoothAdversarialTraining
  Smooth Adversarial Training
  ☆67Updated 4 years ago
• Jack-lx-jiang / MD_attacks
  Imbalanced Gradients: A New Cause of Overestimated Adversarial Robustness. (MD attacks)
  ☆11Updated 4 years ago
• P2333 / Max-Mahalanobis-Training
  Max Mahalanobis Training (ICML 2018 + ICLR 2020)
  ☆90Updated 4 years ago
• zjysteven / DVERGE
  [NeurIPS'20 Oral] DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
  ☆55Updated 3 years ago
• whxbergkamp / RobustDL_GAN
  ☆21Updated 5 years ago
• goldblum / AdversarialQuerying
  A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"
  ☆50Updated 4 years ago
• gmh14 / RobNets
  [CVPR 2020] When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks
  ☆124Updated 4 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago
• wutong16 / Adversarial_Long-Tail
  [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"
  ☆102Updated 3 years ago