Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'
☆43Jan 19, 2024Updated 2 years ago
Alternatives and similar repositories for CausalAdv
Users that are interested in CausalAdv are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆123Aug 28, 2023Updated 3 years ago
- The official PyTorch Implementation of the Paper "Adversarial Visual Robustness by Causal Intervention"☆18Oct 6, 2021Updated 4 years ago
- Code for ICLR 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style☆13Jul 3, 2023Updated 3 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆38Nov 27, 2023Updated 2 years ago
- ☆17May 2, 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.
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆22Feb 20, 2022Updated 4 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 8 months ago
- repository for Causal&NLP reading group☆11Jan 30, 2026Updated 7 months ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- Codebase for the EMNLP 2021 paper "HittER: Hierarchical Transformers for Knowledge Graph Embeddings".☆12Nov 1, 2021Updated 4 years ago
- translation of VHL repo in paddle☆25Jun 28, 2023Updated 3 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Jul 4, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- HKBU PhD/MPhil thesis template as well as key steps for submission☆38Sep 27, 2022Updated 3 years ago
- Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.☆11Oct 9, 2022Updated 3 years ago
- ☆12Jul 17, 2023Updated 3 years ago
- Official Implementation of Avoiding spurious correlations via logit correction☆17May 6, 2023Updated 3 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Jul 7, 2023Updated 3 years ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆16Feb 27, 2025Updated last year
- Experiments for "A Closer Look at In-Context Learning under Distribution Shifts"☆18May 29, 2023Updated 3 years ago
- ☆18Nov 24, 2023Updated 2 years ago
- Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off☆33Apr 28, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Experiments to reproduce results in Interventional Causal Representation Learning.☆31Feb 1, 2023Updated 3 years ago
- This repository constists of the implementations of the Distance Correlation (DC) and Information Over Bias (IOB) metrics proposed in [li…☆22Oct 16, 2021Updated 4 years ago
- Group-conditional DRO to alleviate spurious correlations☆15Jul 15, 2021Updated 5 years ago
- [ICML 2023] "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"☆34Nov 10, 2023Updated 2 years ago
- The source codes for paper "Relative Position and Map Networks in Few-shot Learning for Image Classification"☆14Jul 12, 2020Updated 6 years ago
- This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).☆40Oct 15, 2024Updated last year
- Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…☆29Nov 17, 2022Updated 3 years ago
- [ICML25] Official repo for "Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond…☆24Sep 27, 2025Updated 11 months ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆11Mar 29, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- This is anonymous repository for submitting our work to a conference☆14Dec 17, 2024Updated last year
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆22Oct 29, 2021Updated 4 years ago
- Learning To Taste☆19Feb 14, 2025Updated last year
- Official PyTorch implementation of "EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders"☆14Sep 20, 2024Updated last year
- A curated list of resources for OOD detection with graph data.☆19Dec 30, 2023Updated 2 years ago
- NeurIPS'2022: Pluralistic Image Completion with Gaussian Mixture Models☆14Jan 28, 2023Updated 3 years ago