Xiangyu Yin

Affiliations:
  • University of Liverpool, UK


According to our database1, Xiangyu Yin authored at least 16 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Fragile by Design: On the Limits of Adversarial Defenses in Personalized Generation.
CoRR, November, 2025

TAIJI: Textual Anchoring for Immunizing Jailbreak Images in Vision Language Models.
CoRR, March, 2025

CeTAD: Towards Certified Toxicity-Aware Distance in Vision Language Models.
CoRR, March, 2025

Toward Linearly Regularizing the Geometric Bottleneck of Linear Generalized Attention.
Trans. Mach. Learn. Res., 2025

Interpreting Safety: A LLM and STPA Approach.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Black-Box Evaluation Framework for Semantic Robustness in Bird's Eye View Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
DIMBA: discretely masked black-box attack in single object tracking.
Mach. Learn., April, 2024

Robust RL with LLM-Driven Data Synthesis and Policy Adaptation for Autonomous Driving.
CoRR, 2024

Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming.
CoRR, 2024

Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Boosting Adversarial Training via Fisher-Rao Norm-Based Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Representation-Based Robustness in Goal-Conditioned Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
<i>ODE4ViTRobustness</i>: A tool for understanding adversarial robustness of Vision Transformers.
Softw. Impacts, March, 2023

ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning.
CoRR, 2023


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