Alternatives and similar repositories for Cost-Sensitive-Robustness:

Users that are interested in Cost-Sensitive-Robustness are comparing it to the libraries listed below

• enyac-group / Renofeation
  ☆19Updated 3 years ago
• alvinchangw / IGAM_CVPR2020
  Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
  ☆16Updated last year
• schzhu / learning-adversarially-robust-representations
  Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…
  ☆22Updated 4 years ago
• hendrycks / fooling
  Code for the Adversarial Image Detectors and a Saliency Map
  ☆12Updated 7 years ago
• xuanqing94 / BayesianDefense
  Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
  ☆63Updated 5 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆44Updated 4 years ago
• dtak / adversarial-robustness-public
  Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…
  ☆55Updated 2 years ago
• jinyuan-jia / Certify_Topk
  ☆11Updated 5 years ago
• uds-lsv / evaluating-logit-pairing-methods
  Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]
  ☆19Updated 6 years ago
• yk / icml19_public
  ☆21Updated 4 years ago
• BorealisAI / mma_training
  Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
  ☆34Updated 4 years ago
• StephanZheng / neural-fingerprinting
  ☆29Updated 5 years ago
• deepgenerativeclassifier / DeepBayes
  Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
  ☆23Updated 5 years ago
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 2 years ago
• mndu / guided-feature-inversion
  PyTorch code for KDD 18 paper: Towards Explanation of DNN-based Prediction with Guided Feature Inversion
  ☆21Updated 5 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆13Updated 4 years ago
• MadryLab / robustness_lib
  ☆12Updated 5 years ago
• UMBCvision / fooling_network_interpretation
  Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
  ☆24Updated 5 years ago
• houshd / TS_Adv
  Codebase for the paper "Adversarial Attacks on Time Series"
  ☆18Updated 5 years ago
• Ivan1248 / Parseval-networks
  An (imperfect) implementation of wide resnets and Parseval regularization
  ☆9Updated 4 years ago
• locuslab / perturbation_learning
  Learning perturbation sets for robust machine learning
  ☆64Updated 3 years ago
• ZiangYan / deepdefense.pytorch
  Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
  ☆39Updated 6 years ago
• davidstutz / cvpr2019-adversarial-robustness
  CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
  ☆14Updated 5 years ago
• tcwangshiqi-columbia / Interval-Attack
  Interval attacks (adversarial ML)
  ☆21Updated 5 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 4 years ago
• max-andr / provable-robustness-max-linear-regions
  Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]
  ☆32Updated 4 years ago
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago
• blackbox-bandits / blackbox-attacks-bandits-priors
  Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"
  ☆14Updated 6 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 3 years ago
• adversarial-robustness-benchmark / adversarial-robustness-benchmark
  ☆18Updated 5 years ago