Alternatives and similar repositories for projektor:

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

• OODRobustBench / OODRobustBench
  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024
  ☆19Updated 7 months ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆47Updated 9 months 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
• MadryLab / failure-directions
  Distilling Model Failures as Directions in Latent Space
  ☆46Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• ethz-spylab / realistic-adv-examples
  Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
  ☆20Updated 10 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆18Updated 3 months ago
• hammlab / LimitsOfUDA
  Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning. (Neurips 2021)
  ☆8Updated 3 years ago
• Cranial-XIX / Continual-Learning-Private-Unlearning
  Official PyTorch Implementation for Continual Learning and Private Unlearning
  ☆13Updated 2 years ago
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆35Updated last year
• meghdadk / SCRUB
  ☆44Updated 6 months ago
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated last year
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆27Updated last year
• ElisaNguyen / bayesian-tda
  Code for NeurIPS'23 paper "A Bayesian Approach To Analysing Training Data Attribution In Deep Learning"
  ☆15Updated last year
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 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
• fjxmlzn / private-evolution-papers
  The collection of papers about Private Evolution
  ☆11Updated 3 weeks 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
• ejones313 / auditing-llms
  ☆53Updated 2 years ago
• JJchy / CG_score
  Data Valuation without Training of a Model, submitted to ICLR'23
  ☆23Updated 2 years ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆54Updated 5 months ago
• kaiwenzha / contrastive-poisoning
  [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning
  ☆30Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆18Updated last year
• Vaidehi99 / InfoDeletionAttacks
  ☆41Updated last month
• aounon / certified-llm-safety
  ☆35Updated 7 months ago
• zeyuanyin / tiny-imagenet
  ☆18Updated last year
• IRMBed / IRMBed
  This is the project for IRM methods
  ☆12Updated 3 years ago