Alternatives and similar repositories for BaggingCertifyDataPoisoning

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

• alevine0 / DPA
  Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"
  ☆13Updated 3 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• AI-secure / Robustness-Against-Backdoor-Attacks
  RAB: Provable Robustness Against Backdoor Attacks
  ☆39Updated 2 years ago
• ShawnXYang / AccumulativeAttack
  ☆19Updated 4 years ago
• hammlab / PoisoningCertifiedDefenses
  How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)
  ☆14Updated 4 years ago
• neeharperi / DeepKNNDefense
  KNN Defense Against Clean Label Poisoning Attacks
  ☆13Updated 4 years ago
• zhenglisec / Label-Only-MIA
  ☆21Updated last year
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆67Updated 4 years ago
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆62Updated 2 years ago
• zeyuanyin / LTH-Backdoor
  [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis
  ☆10Updated 4 years ago
• Sanghyun-Hong / Gradient-Shaping
  [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
  ☆10Updated 5 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago
• reds-lab / Universal_Pert_Cert
  This repo is the official implementation of the ICLR'23 paper "Towards Robustness Certification Against Universal Perturbations." We calc…
  ☆12Updated 2 years ago
• reds-lab / Meta-Sift
  The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …
  ☆20Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆53Updated 3 years ago
• AI-secure / VeriGauge
  A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
  ☆90Updated 2 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆84Updated 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
  ☆34Updated 5 years ago
• Shawn-Shan / forensics
  Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks
  ☆20Updated 3 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆92Updated last year
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 5 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 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 5 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆54Updated 4 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 3 years ago
• lijiachun123 / TrojAi
  competition
  ☆17Updated 5 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆25Updated 3 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆68Updated 5 years ago
• SewoongLab / spectre-defense
  Defending Against Backdoor Attacks Using Robust Covariance Estimation
  ☆22Updated 4 years ago