# CGCL-codes/AdvCLIP

<https://repo.masters-masters.com/en/repos/CGCL-codes/AdvCLIP>

[Home](https://repo.masters-masters.com/en) › [CGCL-codes](https://repo.masters-masters.com/en/owners/CGCL-codes) › [AdvCLIP](https://repo.masters-masters.com/en/repos/CGCL-codes/AdvCLIP)

CGCL-codes/AdvCLIP has 100 stars on GitHub. Its RepoMasters card: Prototype tier. The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic…

| Field | Value |
| --- | --- |
| Owner | [CGCL-codes](https://repo.masters-masters.com/en/owners/CGCL-codes) |
| Stars | 100 |
| Forks | 3 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [CGCL-codes/AdvCLIP](https://github.com/CGCL-codes/AdvCLIP) |

## Repository

The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.