Alternatives and similar repositories for BullseyePoison:

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

• Unispac / Fight-Poison-With-Poison
  Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples
  ☆25Updated last year
• kaidi-jin / backdoor_samples_detection
  ☆10Updated 3 years ago
• YiZeng623 / DeepSweep
  An evaluation framework for mitigating DNN backdoor attacks using data augmentations
  ☆9Updated 4 years ago
• ZiangYan / pda.pytorch
  Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.
  ☆11Updated 3 years ago
• Unispac / Circumventing-Backdoor-Defenses
  Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)
  ☆39Updated 2 years ago
• VITA-Group / Random-Shuffling-BackdoorDetect
  [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…
  ☆20Updated 2 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• MadryLab / backdoor_data_poisoning
  ☆25Updated 6 years ago
• cleverhans-lab / model-extraction-iclr
  ☆13Updated 2 years ago
• adverML / SpectralDef_Framework
  Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
  ☆11Updated 2 years ago
• jinyuan-jia / Certify_Topk
  ☆11Updated 5 years ago
• SSGAalto / prada-protecting-against-dnn-model-stealing-attacks
  Reference implementation of the PRADA model stealing defense. IEEE Euro S&P 2019.
  ☆33Updated 5 years ago
• wanlunsec / Beatrix
  ☆24Updated 2 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
• locuslab / breaking-poisoned-classifier
  Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"
  ☆26Updated 3 years ago
• YiZeng623 / frequency-backdoor
  ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…
  ☆43Updated 2 years ago
• RU-System-Software-and-Security / FeatureRE
  ☆26Updated 2 years ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 3 years ago
• TLMichael / Delusive-Adversary
  [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training
  ☆31Updated 3 years ago
• sunbelbd / invisible_backdoor_attacks
  ☆19Updated 2 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
• val-iisc / GAMA-GAT
  Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020
  ☆26Updated 4 years ago
• SewoongLab / spectre-defense
  Defending Against Backdoor Attacks Using Robust Covariance Estimation
  ☆21Updated 3 years ago
• kyleliang919 / Uncovering-the-Connections-BetweenAdversarial-Transferability-and-Knowledge-Transferability
  code for ICML 2021 paper in which we explore the relationship between adversarial transferability and knowledge transferability.
  ☆17Updated 2 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆29Updated 4 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated last year
• val-iisc / Hard-Label-Model-Stealing
  ☆29Updated 2 years ago
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆32Updated 4 years ago
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆34Updated 5 years ago