TMLR Group
Trustworthy Machine Learning and Reasoning (TMLR) Group, an online-offline-mixed machine learning research group, locates in different cities, including Hong Kong, Melbourne, Shanghai, Nottingham and Sydney. We share the vision for the future ML technology: building trustworthy learning and reasoning algorithms, theories and systems.
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Repositories
- tmlr-group.github.io Public
- Awesome-model-inversion-attack Public Forked from AndrewZhou924/Awesome-model-inversion-attack
[arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"
- TADS Public Forked from haochenglouis/TADS
[ICLR 2026] "Task-Aware Data Selection via Proxy-Label Enhanced Distribution Matching for LLM Finetuning"
- USAD Public Forked from yeager20001118/USAD
[ICML 2026 workshop] Code repository for USAD: Uncertainty-aware Statistical Adversarial Detection
- CoDaPO Public
[ICML 2026] "The Easy, the Hard, and the Learnable: Confidence and Difficulty-Adaptive Policy Optimization for LLM Reasoning"
- RewardFlow Public
[arXiv:2603.18859] "RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models"
- AMD Public Forked from zhijianzhouml/AMD
Reproducibility code for AMD: Anchor-based Maximum Discrepancy for Relative Similarity Testing
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