☆28Dec 31, 2020Updated 5 years ago
Alternatives and similar repositories for uap_virtual_data.pytorch
Users that are interested in uap_virtual_data.pytorch are comparing it to the libraries listed below
Sorting:
- ☆29Jul 26, 2021Updated 4 years ago
- This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness,"…☆19Jul 15, 2024Updated last year
- This is official repository for Dual Temperature Helps Contrastive Learning without Many Negative Samples (CVPR2022)☆27Dec 1, 2022Updated 3 years ago
- Code for DeepPTZ: Deep Self-Calibration for PTZ Cameras ( wacv2020 )☆47Aug 26, 2020Updated 5 years ago
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆20Oct 9, 2020Updated 5 years ago
- Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)☆174Oct 29, 2022Updated 3 years ago
- This repo is the official implementation of the ICLR'23 paper "Towards Robustness Certification Against Universal Perturbations." We calc…☆12Feb 14, 2023Updated 3 years ago
- ☆21May 13, 2022Updated 3 years ago
- Bullseye Polytope Clean-Label Poisoning Attack☆15Nov 5, 2020Updated 5 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Nov 17, 2022Updated 3 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Aug 28, 2021Updated 4 years ago
- Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"☆70Nov 17, 2020Updated 5 years ago
- This project uses the Labeled Faces in the Wild (LFW) dataset, and the goal is to train variants of deep architectures to learn when a…☆19Sep 14, 2018Updated 7 years ago
- Adversarial attacks and defenses against federated learning.☆20May 24, 2023Updated 2 years ago
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆41Feb 10, 2023Updated 3 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆20Apr 27, 2023Updated 2 years ago
- Generalized Data-free Universal Adversarial Perturbations☆73Oct 5, 2018Updated 7 years ago
- Universal Adversarial Networks☆32Jul 30, 2018Updated 7 years ago
- A Novel Listwise Collaborative Ranking Algorithm published at ICML'18☆17Jan 17, 2019Updated 7 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆86Jun 9, 2022Updated 3 years ago
- ☆13Jul 17, 2024Updated last year
- [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)☆80Oct 24, 2019Updated 6 years ago
- ☆28Jun 27, 2022Updated 3 years ago
- Reproduces BPDA attack in pytorch☆13Oct 10, 2019Updated 6 years ago
- Official implementation for "DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning"☆28Jan 21, 2023Updated 3 years ago
- Official implementation of the paper "Camera Exposure Control for Robust Robot Vision with Noise-Aware Image Quality Assessment"☆38Mar 16, 2022Updated 4 years ago
- Official implementation of the paper "Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and …☆40Jul 25, 2022Updated 3 years ago
- [TVT] Enhancing Automatic Modulation Recognition through Robust Global Feature Extraction☆40Mar 13, 2025Updated last year
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆145Jul 31, 2023Updated 2 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆64Jul 7, 2021Updated 4 years ago
- GPU implementation of Xnor network on inference level.☆22Aug 10, 2020Updated 5 years ago
- MXNet/Gluon implement of L-GM-Loss☆11Oct 17, 2018Updated 7 years ago
- RO-ViT CVPR 2023 "Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers"☆17Aug 24, 2023Updated 2 years ago
- [ICCV 2023] "TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization", Yi…☆13Jul 17, 2024Updated last year
- Pytorch code for ens_adv_train☆17Jun 7, 2019Updated 6 years ago
- Code for the paper "SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness" (NeurIPS 2021)☆21Sep 27, 2022Updated 3 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Nov 21, 2021Updated 4 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- Code for AAAI 2021 "Towards Feature Space Adversarial Attack".☆30Aug 24, 2021Updated 4 years ago