[ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"
☆50Jul 20, 2024Updated 2 years ago
Alternatives and similar repositories for robust-unlearnable-examples
Users that are interested in robust-unlearnable-examples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆22Jan 28, 2023Updated 3 years ago
- [ICLR 2022] Huber Additive Models for Non-stationary Time Series Analysis☆16Mar 14, 2022Updated 4 years ago
- [ECCV 2022] Code for the paper, ReAct: Temporal Action Detection with Relational Queries☆39Oct 19, 2022Updated 4 years ago
- [AAAI'24] Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise☆12Aug 6, 2024Updated 2 years ago
- Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression☆14Mar 22, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆10Apr 9, 2024Updated 2 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Sep 9, 2024Updated 2 years ago
- ☆54Sep 11, 2021Updated 5 years ago
- ☆20Jun 5, 2023Updated 3 years ago
- Code for Transferable Unlearnable Examples☆22Mar 11, 2023Updated 3 years ago
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Mar 13, 2023Updated 3 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆178Jul 5, 2024Updated 2 years ago
- Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples☆11Oct 14, 2024Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆32Dec 2, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [ICLR 2023 Spotlight] One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks☆14Sep 28, 2025Updated last year
- ☆10Jul 28, 2022Updated 4 years ago
- [CVPR'24 Oral] Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning☆33Nov 19, 2024Updated last year
- ☆29Aug 21, 2024Updated 2 years ago
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆22Apr 25, 2023Updated 3 years ago
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆46Apr 15, 2025Updated last year
- [WMT 2022 champion system] Vega-MT model and inference scripts☆41Feb 10, 2023Updated 3 years ago
- This is the official code implementation of A Survey on Unlearnable Data.☆31Apr 23, 2026Updated 6 months ago
- A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)☆11Jun 10, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- Code for "Neural Tangent Generalization Attacks" (ICML 2021)☆41Jul 29, 2021Updated 5 years ago
- Codes for CVPR2020 paper "Towards Transferable Targeted Attack".☆16Apr 24, 2022Updated 4 years ago
- A curated collection of papers and resources on Unlearnable Examples.☆15Oct 3, 2026Updated 3 weeks ago
- Unrestricted adversarial images via interpretable color transformations (TIFS 2023 & BMVC 2020)☆32Apr 25, 2023Updated 3 years ago
- A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]☆10Sep 3, 2019Updated 7 years ago
- [NeurIPS 2024] UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation☆10Jul 5, 2025Updated last year
- For easy metric logging and visualization☆13Jan 31, 2025Updated last year
- Implementation for <Understanding Robust Overftting of Adversarial Training and Beyond> in ICML'22.☆14Jul 1, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆20Oct 28, 2025Updated last year
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 3 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆34Dec 16, 2022Updated 3 years ago
- [Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness☆18Jul 5, 2024Updated 2 years ago
- ☆27Updated this week
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆25Mar 23, 2024Updated 2 years ago
- Simple yet effective targeted transferable attack (NeurIPS 2021)☆52Nov 17, 2022Updated 3 years ago