Alternatives and similar repositories for easy-bib

Users that are interested in easy-bib are comparing it to the libraries listed below

• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆91Updated last year
• jinyuan-jia / MemGuard
  ☆46Updated 6 years ago
• inspire-group / unlearning-verification
  verifying machine unlearning by backdooring
  ☆20Updated 2 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆66Updated 4 years ago
• inspire-group / privacy-vs-robustness
  Privacy Risks of Securing Machine Learning Models against Adversarial Examples
  ☆46Updated 6 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆51Updated 3 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆68Updated 5 years ago
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆73Updated 7 years ago
• AhmedSalem2 / ML-Leaks
  Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"
  ☆85Updated 4 years ago
• hyhmia / BlindMI
  ☆22Updated 3 years ago
• Testing4AI / DeepJudge
  Code release for DeepJudge (S&P'22)
  ☆52Updated 2 years ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆50Updated 3 years ago
• shrezaei / MI-Attack
  ☆32Updated last year
• AI-secure / Certified-Robustness-SoK-Oldver
  This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …
  ☆98Updated 3 years ago
• columbia / pixeldp
  ☆66Updated 6 years ago
• AhmedSalem2 / Updates-Leak
  The code for our Updates-Leak paper
  ☆17Updated 5 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆126Updated 3 years ago
• jinyuan-jia / BadEncoder
  ☆84Updated 4 years ago
• bboylyg / ABL
  Anti-Backdoor learning (NeurIPS 2021)
  ☆84Updated 2 years ago
• lijiachun123 / TrojAi
  competition
  ☆17Updated 5 years ago
• jinyuan-jia / BaggingCertifyDataPoisoning
  ☆11Updated 5 years ago
• DreamtaleCore / Refool
  ☆50Updated last year
• Huiying-Li / blacklight
  ☆19Updated 3 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆133Updated last year
• csong27 / property-inference-collaborative-ml
  Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)
  ☆56Updated 6 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆33Updated 5 years ago
• cake-lab / datafree-model-extraction
  CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
  ☆75Updated last year
• csong27 / ml-model-remember
  Code for Machine Learning Models that Remember Too Much (in CCS 2017)
  ☆31Updated 8 years ago
• KaiyuanZh / OrthogLinearBackdoor
  [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks
  ☆26Updated 7 months ago
• Shawn-Shan / forensics
  Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks
  ☆20Updated 3 years ago