stanislavfort / OpenAI_CLIP_adversarial_examples
Developing adversarial examples and showing their semantic generalization for the OpenAI CLIP model (https://github.com/openai/CLIP)
☆26Updated 4 years ago
Alternatives and similar repositories for OpenAI_CLIP_adversarial_examples:
Users that are interested in OpenAI_CLIP_adversarial_examples are comparing it to the libraries listed below
- ☆17Updated 2 years ago
- Official code for the paper: "Metadata Archaeology"☆19Updated last year
- reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"☆17Updated 7 months ago
- codebase for the SIMAT dataset and evaluation☆39Updated 3 years ago
- ☆25Updated 4 years ago
- An open source implementation of CLIP.☆32Updated 2 years ago
- Repository for the paper Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning☆36Updated last year
- Adversarial examples to the new ConvNeXt architecture☆20Updated 3 years ago
- Official repository for MaGNET, ICLR 2022☆24Updated 2 years ago
- ☆24Updated 11 months ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Load any clip model with a standardized interface☆21Updated last year
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- ☆21Updated 4 years ago
- PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].☆17Updated 3 years ago
- EMNLP Findings 2020: Reevaluating Adversarial Examples in Natural Language☆7Updated 4 years ago
- Command-line tool for downloading and extending the RedCaps dataset.☆46Updated last year
- Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"☆22Updated 3 years ago
- Describe the format of image/text datasets☆11Updated 2 years ago
- ☆41Updated 2 years ago
- ☆13Updated 3 years ago
- Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)☆39Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆29Updated 2 years ago
- Procedural Image Programs for Representation Learning - NeurIPS 2022☆33Updated 6 months ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 4 years ago
- Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.☆22Updated 2 years ago
- Code for T-MARS data filtering☆35Updated last year
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Updated 2 years ago
- ☆16Updated last year
- Latest Weight Averaging (NeurIPS HITY 2022)☆30Updated last year