Alternatives and similar repositories for Continual-Learning-Private-Unlearning:

Users that are interested in Continual-Learning-Private-Unlearning are comparing it to the libraries listed below

• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 2 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 3 years ago
• meghdadk / SCRUB
  ☆44Updated 7 months ago
• fjxmlzn / private-evolution-papers
  The collection of papers about Private Evolution
  ☆11Updated last month
• ethz-spylab / realistic-adv-examples
  Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
  ☆20Updated 11 months ago
• Jimmy-di / camouflage-poisoning
  Camouflage poisoning via machine unlearning
  ☆17Updated 2 years ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆68Updated last year
• shash42 / Evaluating-Inexact-Unlearning
  ☆12Updated last year
• thestephencasper / latent_adversarial_training
  ☆21Updated 8 months ago
• AI-secure / Shapley-Study
  [CVPR 2021] Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
  ☆33Updated 4 years ago
• kuluhan / PRE-DFKD
  Official implementation of the work titled "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay"
  ☆18Updated 2 years ago
• aengusl / latent-adversarial-training
  ☆32Updated 6 months ago
• AdityaGolatkar / SelectiveForgetting
  ☆56Updated 4 years ago
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆30Updated last year
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated last year
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆35Updated last year
• FengHZ / BAFFLE
  The official implement of paper "Does Federated Learning Really Need Backpropagation?"
  ☆23Updated 2 years ago
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆23Updated 5 months ago
• hammlab / LimitsOfUDA
  Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. (Neurips 2021)
  ☆8Updated 3 years ago
• hongliny / FCO-ICML21
  Code repository is for "Federated Composite Optimization", to appear in ICML 2021
  ☆12Updated 2 years ago
• DennisLiu2022 / Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory
  ☆24Updated 2 years ago
• modestyachts / cifar-10.2
  Host CIFAR-10.2 Data Set
  ☆13Updated 3 years ago
• zleizzo / datadeletion
  ☆14Updated 5 years ago
• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆20Updated 8 months ago
• reds-lab / projektor
  This is an official repository for "Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources" (…
  ☆14Updated last year
• BrachioLab / adversarial_prompting
  ☆53Updated last year
• ws-jiang / awesome-sharpeness-aware-minimization
  ☆11Updated last year
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago