yogeshbalaji / InvGANLinks
Official codebase of our paper "Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Network For Secure Inference"
☆15Updated 2 years ago
Alternatives and similar repositories for InvGAN
Users that are interested in InvGAN are comparing it to the libraries listed below
Sorting:
- ☆22Updated 4 years ago
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 2 years ago
- Code for the Adversarial Image Detectors and a Saliency Map☆12Updated 8 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆20Updated 3 years ago
- ☆29Updated 6 years ago
- ☆12Updated 4 months ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 6 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Updated 7 years ago
- This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…☆18Updated last year
- ☆24Updated 3 years ago
- SelectiveBackprop accelerates training by dynamically prioritizing useful examples with high loss☆32Updated 5 years ago
- Automatic and Simultaneous Adjustment of Learning Rate and Momentum for Stochastic Gradient Descent☆45Updated 4 years ago
- Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification☆24Updated 5 years ago
- Code for the paper: Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization (https://arxiv.org/abs/2…☆23Updated 4 years ago
- Code for ICCV 2019 paper "Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Ne…☆12Updated 5 years ago
- Research prototype of deletion efficient k-means algorithms☆24Updated 5 years ago
- ☆19Updated 4 years ago
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated 2 years ago
- [TPAMI 2020] "Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset" by Zhenyu Wu, Haotao Wang,…☆40Updated 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
- Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.☆15Updated 8 years ago
- Caffe code for the paper "Adversarial Manipulation of Deep Representations"☆17Updated 7 years ago
- ☆46Updated 6 years ago
- [NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".☆47Updated last year
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- A general method for training cost-sensitive robust classifier☆22Updated 6 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
- Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks☆43Updated 3 years ago
- [Preprint] "Can 3D Adversarial Logos Cloak Humans?"☆18Updated 3 years ago
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago