AndrewZhou924/Awesome-model-inversion-attack

[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"

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monk1337/Awesome-Robust-Machine-Learning

A curated list of Robust Machine Learning papers/articles and recent advancements.

Size: 456 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 1

subeeshvasu/Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

Size: 400 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 2,680 - Forks: 354

JieyuZ2/wrench

[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

Language: Python - Size: 1.81 MB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 223 - Forks: 34

weijiaheng/Advances-in-Label-Noise-Learning

A curated (most recent) list of resources for Learning with Noisy Labels

Size: 528 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 684 - Forks: 62

shengliu66/ELR

Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels

Language: Python - Size: 4.94 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 295 - Forks: 29

ch-shin/awesome-data-poisoning

Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 20 - Forks: 0

NJUyued/RDA4RobustSSL

"RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning" by Yue Duan (ECCV 2022)

Language: Python - Size: 10 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 9 - Forks: 0

mims-harvard/GNNGuard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Language: Python - Size: 12 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 59 - Forks: 15

sduzpf/Awesome-Papers-on-Adversarial-Attacks-and-Defenses-via-Image-Perturabtions

Attacks and Defenses via Image perturbations

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fchamroukhi/MEteorits

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

Language: R - Size: 28.3 MB - Last synced at: 26 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 2

yunyuntsai/Black-box-Adversarial-Reprogramming

Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (ICML 2020)

Language: Python - Size: 563 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 4

HanxunH/Active-Passive-Losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

Language: Python - Size: 4.76 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 123 - Forks: 28

tahmid0007/Low_Pass_ReLU

Corruption Robust Image Classification with a new Activation Function. Our proposed Activation Function is inspired by the Human Visual System and a classic signal processing fix for data corruption.

Language: MATLAB - Size: 2.34 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 1

zealscott/SGDL

Source code for Self-Guided Learning to Denoise for Robust Recommendation. SIGIR 2022.

Language: Python - Size: 866 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 8

dmizr/phuber

[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)

Language: Python - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 14 - Forks: 6

XinshaoAmosWang/XinshaoAmosWang.github.io

Xinshao Wang, Ex-Postdoc and Ex-Visit Scholar@University of Oxford, Ex-Senior Researcher@ZenithAI

Language: SCSS - Size: 50.5 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

nthu-datalab/Runtime-Masking-and-Cleansing

Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)

Language: Jupyter Notebook - Size: 2.48 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 0

chenpf1025/RobustnessAccuracy

AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

Language: Python - Size: 22.7 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 20 - Forks: 2

chenpf1025/IDN

AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

Language: Python - Size: 13.6 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 26 - Forks: 8

ykwon0407/wdro_local_perturbation

Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)

Language: Python - Size: 16.5 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 2

e-wxy/NL-Sparse-Regularization Fork of hitcszx/lnl_sr

Robust learning on ISIC 2018, based on Learning with Noisy Labels via Sparse Regularization (ICCV 2021).

Language: Jupyter Notebook - Size: 373 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0