ByungKwanLee / Adversarial-Information-Bottleneck
[NeurIPS 2021] Official PyTorch Implementation for "Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck"
☆46Updated 2 years ago
Alternatives and similar repositories for Adversarial-Information-Bottleneck:
Users that are interested in Adversarial-Information-Bottleneck are comparing it to the libraries listed below
- [CVPR 2022] Official PyTorch Implementation for "Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network"☆33Updated 2 years ago
- [CVPR 2023] Official PyTorch Implementation for "Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust N…☆43Updated last year
- Official PyTorch Implementation Code for Developing Super Fast Adversarial Training with Distributed Data Parallel, Channel Last Memory F…☆32Updated 2 years ago
- [ICCV 2023] Official PyTorch Implementation for "Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial …☆31Updated last year
- [OpenReview] Official PyTorch Implementation for "Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variatio…☆23Updated 3 years ago
- Modification to YOLO for improving Dynamic Real-Time Processing on Robotics Operating Systems for Autonomous Vehicle System☆21Updated 3 years ago
- Robustly Converting Camera View from Normal View to Top View for Autonomous Vehicle System on Robotics Operating System (ROS)☆24Updated 5 years ago
- Advanced Energy Control Management System (Advanced-ECMS) for Electrical Vehicle System using proposed Plus Version of Alternating Direct…☆29Updated 3 years ago
- Consistency Regularization for Adversarial Robustness (AAAI 2022)☆53Updated 3 years ago
- ☆41Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆29Updated 3 years ago
- ☆13Updated 2 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆38Updated 4 months ago
- Official PyTorch Implementation for the "What if...?: Thinking Counterfactual Keywords Helps to Mitigate Hallucination in Large Multi-mod…☆16Updated 7 months ago
- Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.☆12Updated 2 years ago
- OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024☆20Updated 9 months ago
- Removing Adversarial Noise in Class Activation Feature Space☆14Updated last year
- Code for Transferable Unlearnable Examples☆19Updated 2 years ago
- [CVPR 2023] Adversarial Robustness via Random Projection Filters☆13Updated last year
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆10Updated last year
- Phase-aware Adversarial Defense for Improving Adversarial Robustness☆11Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 3 years ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆20Updated 10 months ago
- Official Implementation of CODE☆14Updated 7 months ago
- ☆19Updated last year
- ☆10Updated 3 years ago
- [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"☆19Updated last year
- Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).☆34Updated last year