☆23Apr 10, 2023Updated 3 years ago
Alternatives and similar repositories for PAP
Users that are interested in PAP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Generalized Data-free Universal Adversarial Perturbations in PyTorch☆20Oct 9, 2020Updated 5 years ago
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆34Feb 23, 2024Updated 2 years ago
- The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferabili…☆20Aug 22, 2024Updated last year
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆70Sep 6, 2023Updated 2 years ago
- code for "Feature Importance-aware Transferable Adversarial Attacks"☆85Jun 9, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Official codes for GRA (Accepted by ICCV2023)☆17Jul 18, 2023Updated 3 years ago
- Pytorch implementation for the pilot study on the robustness of latent diffusion models.☆13Jun 20, 2023Updated 3 years ago
- The implementation of our ICCV 2023 paper "Downstream-agnostic Adversarial Examples"☆69Aug 30, 2023Updated 2 years ago
- This repository is the official implementation of [Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks (NeurIPS'22)](http…☆26Feb 13, 2023Updated 3 years ago
- Official implementation of the ICCV2023 paper: Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregatio…☆28Aug 17, 2023Updated 2 years ago
- ☆21Mar 19, 2023Updated 3 years ago
- Enhancing the Transferability of Adversarial Attacks through Variance Tuning☆90Feb 23, 2024Updated 2 years ago
- Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]☆10Mar 14, 2022Updated 4 years ago
- ☆84Jul 23, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks(CVPR2023)☆18Jun 19, 2023Updated 3 years ago
- ☆108Feb 16, 2024Updated 2 years ago
- ☆16Jul 25, 2022Updated 4 years ago
- A curated list of papers for the transferability of adversarial examples☆80Jul 8, 2024Updated 2 years ago
- Cross-Modal Transferable Adversarial Attacks from Images to Videos (CVPR 2022)☆22Jul 3, 2024Updated 2 years ago
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆21Feb 23, 2024Updated 2 years ago
- [CVPR 2023] Official implementation of the Clean Feature Mixup (CFM) method☆21May 25, 2023Updated 3 years ago
- Experiments on meta-learning algorithms to solve few-shot domain adaptation☆10Aug 5, 2021Updated 5 years ago
- [NeurIPS2021] Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks☆33Jul 5, 2024Updated 2 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.
- ☆17Nov 24, 2025Updated 8 months ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆29Mar 28, 2026Updated 4 months ago
- Attack-Inspired GAN - unofficial pytorch implementation☆18Jun 10, 2023Updated 3 years ago
- GPU accelerated Perlin Noise in python☆11Oct 23, 2020Updated 5 years ago
- ☆35Dec 16, 2022Updated 3 years ago
- This project is the codes to generate universal adversarial perturbations for EEG-based BCIs.☆11Jul 9, 2020Updated 6 years ago
- A Universal Adversarial Dataset☆36Oct 26, 2020Updated 5 years ago
- ☆16Jan 4, 2022Updated 4 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Mar 30, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆69Mar 20, 2023Updated 3 years ago
- ☆21Nov 26, 2022Updated 3 years ago
- Code for NDSS paper: Stealthy Adversarial Perturbations Against Real-Time Video Classification Systems☆21Nov 24, 2018Updated 7 years ago
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Mar 15, 2022Updated 4 years ago
- Further improve robustness of mixup-trained models in inference (ICLR 2020)☆60Jul 7, 2020Updated 6 years ago
- ☆28Sep 22, 2022Updated 3 years ago
- Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)☆120Mar 30, 2022Updated 4 years ago