awesome-trustworthy-deep-learning
github.com/minghuichen43/awesome-trustworthy-deep-learning ↗A curated list of trustworthy deep learning papers. Continually updating...
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Out-of-Distribution GeneralizationEvasion Attacks and DefensesPrivacyFairnessInterpretabilityAlignmentOthersRobustness ListsPrivacy ListsFairness ListsInterpretability ListsOther ListsRobustness ToolboxesPrivacy ToolboxesFairness ToolboxesInterpretability ToolboxesOther ToolboxesRobustness WorkshopsPrivacy WorkshopsFairness WorkshopsInterpretability WorkshopsOther WorkshopsRobustness TutorialsRobustness TalksRobustness BlogsInterpretability BlogsOther Blogs
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2026 resources from awesome-trustworthy-deep-learning"
Installation instructions →What's inside
Other Workshops
- 1st Workshop on Formal Verification of Machine Learning (ICML 2022)
- ARTIFICIAL INTELLIGENCE AND SECURITY (CCS 2022)
- Automotive and Autonomous Vehicle Security (AutoSec) (NDSS 2022)
- First Workshop on Causal Representation Learning (UAI 2022)
- I Can’t Believe It’s Not Better! (ICBINB) Workshop Series
- International Workshop on Trustworthy Federated Learning (IJCAI 2022)
Robustness Lists
Other Lists
Robustness Blogs
Robustness Toolboxes
Robustness Workshops
- Adversarial Machine Learning on Computer Vision: Art of Robustness (CVPR 2023)
- Backdoor Attacks and Defenses in Machine Learning (ICLR 2023)
- Distribution Shifts Connecting Methods and Applications (NeurIPS 2021)
- New Frontiers in Adversarial Machine Learning (ICML 2022)
- Principles of Distribution Shift (ICML 2022)
- RobustML Workshop (ICLR 2021)
Robustness Tutorials
- Adversarial Machine Learning Tutorial (AAAI 2018)
- Adversarial Robustness of Deep Learning Models (ECCV 2020)
- Adversarial Robustness: Theory and Practice (NeurIPS 2018)
- A Tutorial about Adversarial Attacks & Defenses (KDD 2021)
- Practical Adversarial Robustness in Deep Learning: Problems and Solutions (CVPR 2021)
- Tutorial on Domain Generalization (IJCAI-ECAI 2022)
Fairness Toolboxes
Showing a sample of 172 resources. View the full list on GitHub →