yogeshbalaji / InvGANLinks
Official codebase of our paper "Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Network For Secure Inference"
☆15Updated 3 years ago
Alternatives and similar repositories for InvGAN
Users that are interested in InvGAN are comparing it to the libraries listed below
Sorting:
- Watermarking Deep Neural Networks (USENIX 2018)☆101Updated 5 years ago
- This is the official implementation of ClusTR: Clustering Training for Robustness paper.☆20Updated 4 years ago
- Code for the unrestricted adversarial examples paper (NeurIPS 2018)☆65Updated 6 years ago
- Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)☆32Updated 2 years ago
- ☆24Updated 6 years ago
- Universal Adversarial Networks☆32Updated 7 years ago
- A fast sparse attack on deep neural networks.☆51Updated 5 years ago
- code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-☆29Updated 7 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆89Updated 7 years ago
- Defense GAN in pytorch☆13Updated 6 years ago
- A repository for the query-efficient black-box attack, SignHunter☆23Updated 6 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆14Updated 4 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆84Updated 6 years ago
- Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)☆246Updated 6 years ago
- Implementation of the Biased Boundary Attack for the NeurIPS 2018 Adversarial Vision Challenge☆13Updated 6 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆69Updated 7 years ago
- ☆88Updated 5 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆59Updated 6 years ago
- PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020☆53Updated 5 years ago
- The official pytorch implementation of ACM MM 19 paper "MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks"☆11Updated 4 years ago
- Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets☆34Updated 6 years ago
- Simple object classification project with deep-learning. We choose CIFAR10, CIFAR100 and Caltech101 as training datasets.☆15Updated 8 years ago
- This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"☆30Updated 5 years ago
- The official implementation codes of greedy residuals for the paper Watermarking Deep Neural Networks with Greedy Residuals (ICML 2021).☆24Updated 3 years ago
- Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]☆28Updated 3 years ago
- Official Repository for the CVPR 2020 paper "Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs"☆44Updated 2 years ago
- A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"☆10Updated 6 years ago
- Code used in 'Exploring the Space of Black-box Attacks on Deep Neural Networks' (https://arxiv.org/abs/1712.09491)☆61Updated 7 years ago
- Implementation of the Biased Boundary Attack for ImageNet☆22Updated 6 years ago
- Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…☆99Updated 5 years ago