sibosutd / feature-distillationLinks
Python implementation for paper: Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
☆11Updated 7 years ago
Alternatives and similar repositories for feature-distillation
Users that are interested in feature-distillation are comparing it to the libraries listed below
Sorting:
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 6 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆57Updated 6 years ago
- Analysis of Adversarial Logit Pairing☆60Updated 6 years ago
- A repository for the query-efficient black-box attack, SignHunter☆23Updated 5 years ago
- Image Super-Resolution as a Defense Against Adversarial Attacks☆89Updated 6 years ago
- ☆48Updated 4 years ago
- Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)☆32Updated 2 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆14Updated 3 years ago
- Code of our recently published attack FDA: Feature Disruptive Attack. Colab Notebook: https://colab.research.google.com/drive/1WhkKCrzFq5…☆21Updated 5 years ago
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Data independent universal adversarial perturbations☆62Updated 5 years ago
- Smooth Adversarial Training☆68Updated 4 years ago
- Implementation of our NeurIPS 2019 paper: Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks☆10Updated 5 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆85Updated 6 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆58Updated 5 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- Coupling rejection strategy against adversarial attacks (CVPR 2022)☆29Updated 3 years ago
- Feature Scattering Adversarial Training (NeurIPS19)☆73Updated last year
- A fast sparse attack on deep neural networks.☆50Updated 4 years ago
- Adversarial Examples for Semantic Segmentation and Object Detection☆125Updated 7 years ago
- Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"☆34Updated 5 years ago
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆66Updated 6 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆64Updated 5 years ago
- ☆13Updated 5 years ago
- Transferable Adversarial Attacks for Image and Video Object Detection☆15Updated 5 years ago
- StrAttack, ICLR 2019☆33Updated 6 years ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago
- ☆18Updated 5 years ago
- ☆13Updated 5 years ago
- Source for paper "Attacking Binarized Neural Networks"☆23Updated 7 years ago