jiamingzhang94 / Unlearnable-ClustersLinks
CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples
☆22Updated 2 years ago
Alternatives and similar repositories for Unlearnable-Clusters
Users that are interested in Unlearnable-Clusters are comparing it to the libraries listed below
Sorting:
- Code for Transferable Unlearnable Examples☆20Updated 2 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆26Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆26Updated 2 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated 10 months ago
- ☆35Updated last year
- Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples☆108Updated 3 years ago
- ☆20Updated 4 months ago
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆17Updated 2 years ago
- ☆30Updated last year
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆51Updated 2 years ago
- CVPR 2025 - Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models☆41Updated last month
- ☆22Updated 2 years ago
- A curated list of papers for the transferability of adversarial examples☆72Updated last year
- Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.☆60Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 4 months ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆117Updated 3 years ago
- ☆76Updated last year
- Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability☆22Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆83Updated 3 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆19Updated 11 months ago
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆45Updated 3 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆41Updated 3 years ago
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆23Updated 2 years ago
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- Removing Adversarial Noise in Class Activation Feature Space☆14Updated last year
- ☆60Updated last year
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆31Updated 3 months ago
- Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)☆25Updated 2 years ago
- TIFS2022: Decision-based Adversarial Attack with Frequency Mixup☆23Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆21Updated last year