Alternatives and similar repositories for tabularbench

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

• AI-secure / Meta-Nerual-Trojan-Detection
  ☆68Updated 5 years ago
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 3 years ago
• tianshuocong / TePA
  [S&P'24] Test-Time Poisoning Attacks Against Test-Time Adaptation Models
  ☆19Updated 11 months ago
• MinChen00 / UnlearningLeaks
  Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
  ☆50Updated 3 years ago
• bboylyg / RNP
  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)
  ☆39Updated 2 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆92Updated last year
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 3 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆27Updated last year
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• yujingmarkjiang / Time_Series_Backdoor_Attack
  SaTML'23 paper "Backdoor Attacks on Time Series: A Generative Approach" by Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, and James Bail…
  ☆21Updated 3 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
• ayushkumartarun / deep-regression-unlearning
  Official repo of the paper Deep Regression Unlearning accepted in ICML 2023
  ☆14Updated 2 years ago
• TrustAIResearch / MLHospital
  ☆44Updated 2 years ago
• eth-sri / adaptive-auto-attack
  ☆22Updated 4 years ago
• microsoft / DPSDA
  Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]
  ☆111Updated 3 months ago
• msrocean / continual-learning-malware
  This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to …
  ☆19Updated 2 years ago
• ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
  ☆19Updated 2 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆25Updated 3 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆83Updated last year
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆29Updated 2 years ago
• cleverhans-lab / machine-unlearning
  ☆198Updated 2 years ago
• BielStela / membership_inference
  Python package to create adversarial agents for membership inference attacks againts machine learning models
  ☆47Updated 6 years ago
• nvedant07 / Fairness-Through-Robustness
  Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…
  ☆13Updated 4 years ago
• weizeming / momentum-attack-llm
  ☆23Updated last year
• liuyugeng / baadd
  Code for Backdoor Attacks Against Dataset Distillation
  ☆35Updated 2 years ago
• cchoquette / membership-inference
  Code for the paper: Label-Only Membership Inference Attacks
  ☆68Updated 4 years ago
• SonyResearch / IDEAL
  Query-Efficient Data-Free Learning from Black-Box Models
  ☆23Updated 2 years ago
• RJ-T / NIPS2022_EP_BNP
  Official Implementation of NIPS 2022 paper Pre-activation Distributions Expose Backdoor Neurons
  ☆15Updated 3 years ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆17Updated 3 years ago
• Gwinhen / PixelBackdoor
  This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."
  ☆24Updated 3 years ago