dwDavidxd / MIATLinks
Improving Adversarial Robustness via Mutual Information Estimation
☆11Updated last year
Alternatives and similar repositories for MIAT
Users that are interested in MIAT are comparing it to the libraries listed below
Sorting:
- Removing Adversarial Noise in Class Activation Feature Space☆14Updated 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
- Towards Defending against Adversarial Examples via Attack-Invariant Features☆12Updated last year
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆21Updated 3 years ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- ☆19Updated 4 months ago
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral☆59Updated 4 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆41Updated 3 years ago
- ☆58Updated 2 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆26Updated last year
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆21Updated 2 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 10 months ago
- ☆30Updated last year
- ☆35Updated last year
- [CVPR 2022 oral] Subspace Adversarial Training☆27Updated 2 years ago
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆108Updated 2 years ago
- ☆60Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆30Updated last year
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆30Updated 3 months ago
- ☆75Updated 11 months ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆21Updated last year
- SEAT☆21Updated last year
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆21Updated last year
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆29Updated 3 years ago
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆38Updated 9 months ago