Yifan Yan

According to our database, Yifan Yan authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Matryoshka: Exploiting the Over-Parametrization of Deep Learning Models for Covert Data Transmission.

Xudong Pan, Mi Zhang, Yifan Yan, Shengyao Zhang, Min Yang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

2024

Optical Parameter Decoupling and Optimization for Elliptically Polarized Atomic Magnetometer.

Yifan Yan, Shaowen Zhang, Zehua Liu, Di Zhan, Ziao Liu, Xiaoyu Li, Ying Zhou, Jixi Lu

IEEE Trans. Instrum. Meas., 2024

MUTE-SLAM: Real-Time Neural SLAM with Multiple Tri-Plane Hash Representations.

Yifan Yan, Ruomin He, Zhenghua Liu

CoRR, 2024

2023

Lossless segmentation of cardiac medical images by a resolution consistent network with nondamage data preprocessing.

Yifan Yan, Chenglizhao Chen, Jingyang Gao

Multim. Tools Appl., 2023

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation.

Yifan Yan, Xudong Pan, Mi Zhang, Min Yang

Proceedings of the 32nd USENIX Security Symposium, 2023

ScentCarving: Fabricating Thin, Multi-layered and Paper-Based Scent Release through Laser Printing.

Yifan Yan, Mingyi Yuan, Yanan Wang, Qi Wang, Xinyi Liao, Xinyan Li

Proceedings of the Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

A Unified Framework for Rank-based Loss Minimization.

Rufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cracking White-box DNN Watermarks via Invariant Neuron Transforms.

Xudong Pan, Mi Zhang, Yifan Yan, Yining Wang, Min Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

EdibleToy: Empowering Children to Create Their Own Meals with a DIY Wafer Paper Kit.

Yilin Shao, Boyu Feng, Yingpin Chen, Yue Yang, Weijun Li, Yifan Yan, Yanan Wang, Ye Tao, Lingyun Sun, Guanyun Wang

Proceedings of the 22nd Annual ACM Interaction Design and Children Conference, 2023

2022

Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model.

Xudong Pan, Yifan Yan, Shengyao Zhang, Mi Zhang, Min Yang

CoRR, 2022

UTAF: A Universal Approach to Task-Agnostic Model Fingerprinting.

Xudong Pan, Mi Zhang, Yifan Yan

CoRR, 2022

Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis.

Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Zhemin Yang

Proceedings of the 31st USENIX Security Symposium, 2022

House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography.

Xudong Pan, Shengyao Zhang, Mi Zhang, Yifan Yan, Min Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting.

Xudong Pan, Yifan Yan, Mi Zhang, Min Yang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Few-shot learning with relation propagation and constraint.

Huiyun Gong, Shuo Wang, Xiaowei Zhao, Yifan Yan, Yuqing Ma, Wei Liu, Xianglong Liu

IET Comput. Vis., 2021

Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains.

Xudong Pan, Mi Zhang, Yifan Yan, Min Yang

Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020

Theory-Oriented Deep Leakage from Gradients via Linear Equation Solver.

Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Min Yang

CoRR, 2020

Active Learning with Query Generation for Cost-Effective Text Classification.

Yifan Yan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, Jin Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Cross modal similarity learning with active queries.

Nengneng Gao, Sheng-Jun Huang, Yifan Yan, Songcan Chen

Pattern Recognit., 2018

Cost-Effective Active Learning for Hierarchical Multi-Label Classification.

Yifan Yan, Sheng-Jun Huang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018