Hoang Anh Just

Orcid: 0009-0002-6094-2473

According to our database1, Hoang Anh Just authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
DiPT: Enhancing LLM reasoning through diversified perspective-taking.
CoRR, 2024

Data-Centric Human Preference Optimization with Rationales.
CoRR, 2024

Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
LAVA: Data Valuation without Pre-Specified Learning Algorithms.
CoRR, 2023

ModelPred: A Framework for Predicting Trained Model from Training Data.
Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

PrivMon: A Stream-Based System for Real-Time Privacy Attack Detection for Machine Learning Models.
Proceedings of the 26th International Symposium on Research in Attacks, 2023

Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2D-Shapley: A Framework for Fragmented Data Valuation.
Proceedings of the International Conference on Machine Learning, 2023

LAVA: Data Valuation without Pre-Specified Learning Algorithms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
Label-Only Model Inversion Attacks via Boundary Repulsion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning to Refit for Convex Learning Problems.
CoRR, 2021


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