VITA-Group / Privacy-AdversarialLearning
[ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
☆38Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Privacy-AdversarialLearning
- Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks☆64Updated 5 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆45Updated 3 years ago
- Rob-GAN: Generator, Discriminator and Adversarial Attacker☆83Updated 5 years ago
- Code for "Adversarial Defense by Stratified Convolutional Sparse Coding"☆18Updated 5 years ago
- [ICCV'19] Improving Adversarial Robustness via Guided Complement Entropy☆40Updated 5 years ago
- VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition, CVPRW, 2018☆17Updated 5 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆13Updated 2 years ago
- Lifelong Learning via Progressive Distillation and Retrospection☆14Updated 5 years ago
- [CVPR 2018] Tensorflow implementation of NAG : Network for Adversary Generation☆32Updated 6 years ago
- Source code for Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses (ECCV 2020)☆41Updated 5 years ago
- Implementation of our NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness☆39Updated 5 years ago
- Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)☆31Updated last year
- A PyTorch implementation of Grad-CAM based on ICCV 2017 paper "Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Local…☆57Updated 6 years ago
- The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]☆15Updated 4 years ago
- Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks, in ICCV 2019☆59Updated 5 years ago
- Source code for Learning Transferable Adversarial Examples via Ghost Networks (AAAI2020)☆59Updated 5 years ago
- ☆37Updated 2 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning☆84Updated 2 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 2 years ago
- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing the…☆54Updated last year
- Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)☆21Updated 4 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆46Updated 4 years ago
- The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch☆60Updated 5 years ago
- Code for ICCV2019 paper《Adversarial Learning with Margin-based Triplet Embedding Regularization》☆28Updated 5 years ago
- PyTorch Implementation of CVPR'19 (oral) - Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach☆27Updated 5 years ago
- A tensorflow implementation and improvement of CVPR 2019 paper 'ComDefend'.☆15Updated 4 years ago
- Code for NeurIPS 2019 Paper☆48Updated 4 years ago
- Generalized Data-free Universal Adversarial Perturbations☆69Updated 6 years ago
- ☆9Updated 11 months ago