ZIYU-DEEP / Awesome-Autoencoders-for-Representation-Learning
A curated list on the literature of autoencoders for representation learning.
☆30Updated 4 years ago
Alternatives and similar repositories for Awesome-Autoencoders-for-Representation-Learning:
Users that are interested in Awesome-Autoencoders-for-Representation-Learning are comparing it to the libraries listed below
- Contains notebooks for the PAR tutorial at CVPR 2021.☆36Updated 3 years ago
- Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)☆26Updated 4 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources". (IC…☆38Updated 4 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- Learning perturbation sets for robust machine learning☆64Updated 3 years ago
- Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)☆18Updated 2 years ago
- ☆11Updated last month
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆22Updated 4 years ago
- This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.☆71Updated 2 years ago
- ☆35Updated last year
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.☆55Updated 4 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 4 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"☆50Updated 3 years ago
- ☆16Updated 2 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 4 years ago
- ☆21Updated 4 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- ☆17Updated 2 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 2 years ago
- ☆38Updated 3 years ago
- ☆9Updated 7 years ago
- CVPR'19 experiments with (on-manifold) adversarial examples.☆44Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- ☆24Updated 3 years ago
- Code for "Interpretable Image Recognition with Hierarchical Prototypes"☆18Updated 5 years ago