☆46May 8, 2024Updated 2 years ago
Alternatives and similar repositories for DVCEs
Users that are interested in DVCEs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Jun 23, 2022Updated 4 years ago
- Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet☆32Aug 22, 2023Updated 3 years ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆11Oct 9, 2024Updated 2 years ago
- ☆12Feb 19, 2025Updated last year
- Official Code for the ACCV 2022 paper Diffusion Models for Counterfactual Explanations☆30Mar 12, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆20Nov 30, 2022Updated 3 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆46Sep 11, 2023Updated 3 years ago
- Distilling Model Failures as Directions in Latent Space☆49Feb 8, 2023Updated 3 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆40Dec 3, 2024Updated last year
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 4 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Apr 25, 2020Updated 6 years ago
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Jul 15, 2020Updated 6 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 6 years ago
- DASH: Detection and Assessment of Systematic Hallucinations of VLMs☆16Jul 2, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implementation of average- and worst-case robust flatness measures for adversarial training.☆15Nov 5, 2021Updated 4 years ago
- FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens☆19Sep 8, 2025Updated last year
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- ☆23Jul 22, 2026Updated 2 months ago
- [ECCV 2024] Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models☆21Jul 17, 2024Updated 2 years ago
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆34Jan 23, 2025Updated last year
- ☆21May 1, 2025Updated last year
- 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.
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated 2 years ago
- Slides and materials for various talks I've given☆17Dec 21, 2022Updated 3 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago
- ☆19May 10, 2024Updated 2 years ago
- Multiclass classification based on stochastic dual coordinate ascent☆33Nov 30, 2016Updated 9 years ago
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆163Feb 19, 2026Updated 7 months ago
- Official code of "Discover the Unknown Biased Attribute of an Image Classifier" (ICCV 2021)☆21Oct 11, 2021Updated 5 years ago
- Adversarial Robustness on In- and Out-Distribution Improves Explainability☆12Feb 10, 2022Updated 4 years ago
- Towards Understanding Sharpness-Aware Minimization [ICML 2022]☆38Jun 14, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Temporal Neural Networks☆30Mar 2, 2026Updated 7 months ago
- VinDr-SpineXR: A deep learning framework forspinal lesions detection and classification from radiographs☆29Jul 1, 2024Updated 2 years ago
- GAN-based method to create counterfactual explanations for chest X-rays☆25Oct 27, 2025Updated 11 months ago
- ☆10Mar 18, 2022Updated 4 years ago
- LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images☆31Nov 30, 2023Updated 2 years ago
- FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods (ICCV 2023)☆17Apr 8, 2024Updated 2 years ago
- 👋 Code for the paper: "Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis" (NeurIPS 2021)☆33Jul 18, 2022Updated 4 years ago