Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression.

[BibT_eX]

[DOI]

Junyuan Hong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly.

[BibT_eX]

[DOI]

CoRR, 2023

ACT: Adversarial Consistency Models.

[BibT_eX]

[DOI]

CoRR, 2023

RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias.

[BibT_eX]

[DOI]

CoRR, 2023

Exposing the Fake: Effective Diffusion-Generated Images Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Shifting Attention to Relevance: Towards the Uncertainty Estimation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training.

[BibT_eX]

[DOI]

CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

[BibT_eX]

[DOI]

CoRR, 2023

Improve Video Representation with Temporal Adversarial Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Are Diffusion Models Vulnerable to Membership Inference Attacks?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Reachability Analysis of a Rigid-Flexible Cable Robot for Interior Coating of Tanker Ships.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Automation, 2023

Design Analysis of a Cable-Driven Parallel Robot with Parallel Cables for Ship Side Painting.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Automation, 2023

Semantic Adversarial Attacks via Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

RBFormer: Improve Adversarial Robustness of Transformers by Robust Bias.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021

Design and Optimization of the New Cable-Driven Ankle Rehabilitation Equipment.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2020

Multi-semantic long-range dependencies capturing for efficient video representation learning.

[BibT_eX]

[DOI]

Image Vis. Comput., 2020

Jinhao Duan

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