psandovalsegura / autoregressive-poisoning
Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)
☆18Updated 2 months ago
Related projects ⓘ
Alternatives and complementary repositories for autoregressive-poisoning
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆14Updated last year
- Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression☆11Updated 4 months ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆31Updated 2 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated last year
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated last year
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆28Updated 2 years ago
- The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consist…☆19Updated last year
- ☆19Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆47Updated 2 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆31Updated last month
- Code for Transferable Unlearnable Examples☆17Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆17Updated 7 months ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆23Updated 4 years ago
- ☆48Updated 3 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆31Updated 2 years ago
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆27Updated last week
- SEAT☆20Updated last year
- ☆32Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆24Updated this week
- ☆22Updated 3 years ago
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆23Updated last year
- ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…☆41Updated 2 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆17Updated last year
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Updated last year
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆39Updated 3 years ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆21Updated last year
- Data-Efficient Backdoor Attacks☆18Updated 2 years ago
- ☆10Updated 2 years ago
- Code for the CVPR 2020 article "Adversarial Vertex mixup: Toward Better Adversarially Robust Generalization"☆13Updated 4 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆20Updated last year