Alternatives and similar repositories for Robust-ResNet

Users that are interested in Robust-ResNet are comparing it to the libraries listed below

• VITA-Group / Once-for-All-Adversarial-Training
  [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…
  ☆44Updated 3 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
• PKUAI26 / AT-CNN
  Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
  ☆66Updated 5 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 4 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
• blackbox-bandits / blackbox-attacks-bandits-priors
  Code for "Prior Convictions: Black-box Adversarial Attacks with Bandits and Priors"
  ☆14Updated 6 years ago
• sibosutd / feature-distillation
  Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
  ☆11Updated 6 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago
• labsix / adversarial-logit-pairing-analysis
  Analysis of Adversarial Logit Pairing
  ☆60Updated 6 years ago
• ZiangYan / subspace-attack.pytorch
  Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks
  ☆10Updated 5 years ago
• P2333 / Mixup-Inference
  Further improve robustness of mixup-trained models in inference (ICLR 2020)
  ☆60Updated 4 years ago
• MadryLab / spatial-pytorch
  Codebase for "Exploring the Landscape of Spatial Robustness" (ICML'19, https://arxiv.org/abs/1712.02779).
  ☆26Updated 5 years ago
• henry8527 / GCE
  [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy
  ☆40Updated 5 years ago
• xiahaifeng1995 / adversarial-robustness
  ☆25Updated 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
• adversarial-robustness-benchmark / adversarial-robustness-benchmark
  ☆18Updated 5 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
• nexuslrf / knowledge_consistency
  Codes for our ICLR2020 paper: Knowledge Consistency between Neural Networks and Beyond
  ☆16Updated 5 years ago
• alvinchangw / IGAM_CVPR2020
  Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
  ☆16Updated 2 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆53Updated 4 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• KaidiXu / StrAttack
  StrAttack, ICLR 2019
  ☆33Updated 5 years ago
• ftramer / MultiRobustness
  Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019
  ☆47Updated 2 years ago
• max-andr / cross-lipschitz
  Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]
  ☆18Updated 7 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• P2333 / Reverse-Cross-Entropy
  Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)
  ☆45Updated 4 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆45Updated 5 years ago
• BorealisAI / mma_training
  Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
  ☆34Updated 5 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 years ago
• shashankkotyan / RobustArchitectureSearch
  This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…
  ☆18Updated last year