This is a reimplementation of the blog post "Building Autoencoders in Keras". Instead of using MNIST, this project uses CIFAR10.
☆75Jan 8, 2019Updated 7 years ago
Alternatives and similar repositories for PyTorch-CIFAR-10-autoencoder
Users that are interested in PyTorch-CIFAR-10-autoencoder are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.☆64Oct 29, 2018Updated 7 years ago
- Pytorch implementation of NPAttack☆12Jul 7, 2020Updated 5 years ago
- ☆26Jan 25, 2019Updated 7 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆73Dec 20, 2021Updated 4 years ago
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆14Aug 22, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch adversarial attack baselines for ImageNet, CIFAR10, and MNIST (state-of-the-art attacks comparison)☆20Mar 12, 2021Updated 5 years ago
- ☆16Nov 30, 2022Updated 3 years ago
- Convolutional Autoencoder with SetNet in PyTorch☆92Oct 4, 2022Updated 3 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 6 years ago
- Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", publi…☆13Jun 29, 2020Updated 5 years ago
- PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.☆254Aug 26, 2020Updated 5 years ago
- ☆26Mar 24, 2023Updated 3 years ago
- Code for AAAI 2021 "Towards Feature Space Adversarial Attack".☆30Aug 24, 2021Updated 4 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Apr 29, 2020Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆73Apr 9, 2019Updated 7 years ago
- This is a python script to generate nice bibtex file for latex.☆19Mar 1, 2020Updated 6 years ago
- Code for paper "Learning a Code: Machine Learning for Approximate Non-Linear Coded-Computation"☆10Dec 21, 2020Updated 5 years ago
- [WACV2023] This is the official PyTorch impelementation of our paper "[Rethinking Rotation in Self-Supervised Contrastive Learning: Adapt…☆12Feb 24, 2023Updated 3 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆34Sep 18, 2020Updated 5 years ago
- ☆11Jan 25, 2022Updated 4 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Jun 7, 2021Updated 4 years ago
- Data independent universal adversarial perturbations☆63Mar 20, 2020Updated 6 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆112Oct 25, 2018Updated 7 years ago
- 異常検知手法ALOCCの実装 (Chainer, PyTorch)☆10Feb 1, 2025Updated last year
- ☆106Oct 19, 2020Updated 5 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆70Mar 19, 2018Updated 8 years ago
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆21Oct 1, 2022Updated 3 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆46Nov 25, 2019Updated 6 years ago
- Concealed Data Poisoning Attacks on NLP Models☆21Sep 4, 2023Updated 2 years ago
- Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)☆17Jan 11, 2023Updated 3 years ago
- Variational autoencoder for anomaly detection (in PyTorch).☆47Oct 25, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 2 years ago
- non local net based on caffe2☆11Nov 20, 2022Updated 3 years ago
- Official Repository for the CVPR 2020 paper "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs"☆45Oct 24, 2023Updated 2 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Nov 14, 2018Updated 7 years ago
- Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"☆21Jun 6, 2022Updated 3 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆204Feb 2, 2025Updated last year
- Official repository for Reliable Label Bootstrapping☆19Mar 24, 2023Updated 3 years ago