Yifan Yan

Orcid: 0009-0007-5735-1193

According to our database1, Yifan Yan authored at least 19 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Optical Parameter Decoupling and Optimization for Elliptically Polarized Atomic Magnetometer.
IEEE Trans. Instrum. Meas., 2024

MUTE-SLAM: Real-Time Neural SLAM with Multiple Tri-Plane Hash Representations.
CoRR, 2024

2023
Lossless segmentation of cardiac medical images by a resolution consistent network with nondamage data preprocessing.
Multim. Tools Appl., 2023

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation.
Proceedings of the 32nd USENIX Security Symposium, 2023

ScentCarving: Fabricating Thin, Multi-layered and Paper-Based Scent Release through Laser Printing.
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.
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.
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.
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.
CoRR, 2022

UTAF: A Universal Approach to Task-Agnostic Model Fingerprinting.
CoRR, 2022

Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis.
Proceedings of the 31st USENIX Security Symposium, 2022

House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography.
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.
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.
IET Comput. Vis., 2021

Understanding the Threats of Trojaned Quantized Neural Network in Model Supply Chains.
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.
CoRR, 2020

Active Learning with Query Generation for Cost-Effective Text Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018
Cross modal similarity learning with active queries.
Pattern Recognit., 2018

Cost-Effective Active Learning for Hierarchical Multi-Label Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018


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