Alternatives and similar repositories for Unlearn-WorstCase

Users that are interested in Unlearn-WorstCase are comparing it to the libraries listed below

• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆77Updated last year
• AdityaGolatkar / SelectiveForgetting
  ☆57Updated 5 years ago
• meghdadk / SCRUB
  ☆46Updated last year
• facebookresearch / certified-removal
  Certified Removal from Machine Learning Models
  ☆68Updated 4 years ago
• shash42 / Evaluating-Inexact-Unlearning
  ☆13Updated 2 years ago
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆26Updated 9 months ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆31Updated last year
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated last month
• csdongxian / ANP_backdoor
  Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"
  ☆58Updated 2 years ago
• ZaydH / influence_analysis_papers
  Influence Analysis and Estimation - Survey, Papers, and Taxonomy
  ☆82Updated last year
• YuxinWenRick / canary-in-a-coalmine
  ☆33Updated last year
• VITA-Group / Backdoor-LTH
  [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…
  ☆26Updated 2 years ago
• sophie-xhonneux / Continuous-AdvTrain
  ☆27Updated last year
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆12Updated 6 months ago
• inspire-group / MIAdefenseSELENA
  [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
  ☆16Updated 2 years ago
• BrachioLab / adversarial_prompting
  ☆53Updated 2 years ago
• orientino / lira-pytorch
  Likelihood Ratio Attack (LiRA) in PyTorch
  ☆15Updated 5 months 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 …
  ☆19Updated 2 years ago
• inspire-group / DP-RandP
  [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
  ☆12Updated 2 years ago
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆32Updated 2 years ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆51Updated last year
• inspire-group / tta_risk
  ☆12Updated 2 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆71Updated last year
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆22Updated 8 months ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• UCDvision / backdoor_transformer
  ☆32Updated 3 years ago
• drimpossible / corrective-unlearning-bench
  ☆19Updated 5 months ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated 2 years ago
• IBM / SafeLoRA
  Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"
  ☆18Updated last month
• 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