Alternatives and similar repositories for unmask:

Users that are interested in unmask are comparing it to the libraries listed below

• AkhilanB / Proper-Interpretability
  Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…
  ☆13Updated 4 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• neeharperi / DeepKNNDefense
  KNN Defense Against Clean Label Poisoning Attacks
  ☆12Updated 3 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆32Updated 4 years ago
• RU-System-Software-and-Security / NIC
  ☆11Updated last year
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• Harry24k / catastrophic-overfitting
  Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
  ☆28Updated 2 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• alevine0 / DPA
  Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"
  ☆12Updated 2 years ago
• GeorgePisl / backdoor-attacks-based-on-deep-learning
  Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper
  ☆20Updated 4 years ago
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆25Updated 2 years ago
• AI-secure / QEBA
  Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack
  ☆30Updated 4 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆38Updated 3 years ago
• aldahdooh / detectors_review
  ☆51Updated 3 years ago
• jinyuan-jia / Certify_Topk
  ☆11Updated 5 years ago
• nthu-datalab / On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness
  Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)
  ☆17Updated 4 years ago
• haizhongzheng / ATTA
  ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)
  ☆35Updated 4 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 2 years ago
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆40Updated 4 years ago
• ferjad / Universal_Adversarial_Perturbation_pytorch
  A PyTorch Implementation of the UAP attack
  ☆19Updated 6 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆44Updated 5 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• TiJoy / Towards-Transferable-Targeted-Attack
  Codes for CVPR2020 paper "Towards Transferable Targeted Attack".
  ☆15Updated 2 years ago
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆33Updated 4 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆49Updated 3 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆86Updated 4 years ago
• wjyouch / bilateral-adversarial-training
  ☆16Updated 5 years ago