GitHub topics: robustness-experiments
sayakpaul/Consistency-Training-with-Supervision
Contains experimentation notebooks for my Keras Example "Consistency Training with Supervision".
Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 19 days ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 1

XavierSpycy/NumPyNMF
NumPyNMF implements nine different Non-negative Matrix Factorization (NMF) algorithms using NumPy library and compares the robustness of each algorithm to five various types of noise in real-world data applications.
Language: Python - Size: 1.62 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 1

shashankkotyan/DualQualityAssessment
This github repository contains the official code for the papers, "Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses" and "One Pixel Attack for Fooling Deep Neural Networks"
Language: Python - Size: 44.9 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

shashankkotyan/RobustArchitectureSearch
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
Language: Python - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 1

cemanil/LNets
Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
Language: Python - Size: 72.3 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 50 - Forks: 20

luismarcoslc/understanding_deep_belief_networks
Comparison of DBNs and FFNN, stressing on understanding how DBNs work and how robust they are against noise and adversarial attacks.
Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
