Xudong Pan

Orcid: 0000-0003-1394-0395

According to our database1, Xudong Pan authored at least 49 papers between 2009 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Towards Practical Backdoor Attacks on Federated Learning Systems.
IEEE Trans. Dependable Secur. Comput., 2024

BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity Lifting.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

Research on Power System Evaluation Based on Hybrid Cluster Analysis.
Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence, 2024

Neural Dehydration: Effective Erasure of Black-box Watermarks from DNNs with Limited Data.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
Enhancing Time Series Predictors With Generalized Extreme Value Loss.
IEEE Trans. Knowl. Data Eng., 2023

No-Skim: Towards Efficiency Robustness Evaluation on Skimming-based Language Models.
CoRR, 2023

JADE: A Linguistics-based Safety Evaluation Platform for LLM.
CoRR, 2023

MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks.
CoRR, 2023

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding.
Proceedings of the ACM Web Conference 2023, 2023

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model.
Proceedings of the ACM Web Conference 2023, 2023

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

Exorcising "Wraith": Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks.
Proceedings of the 32nd USENIX Security Symposium, 2023

Cracking White-box DNN Watermarks via Invariant Neuron Transforms.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reform of the Major Project Experiment in Mechanical Engineering Measurement Technology for Cultivating Excellent Engineers.
Proceedings of the 12th IEEE International Conference on Engineering Education, 2023

Construction of an Engineering Innovative Practice Center Based on the Integration of Industry and Education.
Proceedings of the 12th IEEE International Conference on Engineering Education, 2023

RØROS: Building a Responsive Online Recommender System via Meta-Gradients Updating.
Proceedings of the IEEE International Conference on Acoustics, 2023

SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Geometrical Perspective on Image Style Transfer With Adversarial Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling.
CoRR, 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

Hidden Trigger Backdoor Attack on NLP Models via Linguistic Style Manipulation.
Proceedings of the 31st USENIX Security Symposium, 2022

Study on crack initiation of harmonic gears based on extended finite element method.
Proceedings of the 19th International Conference on Ubiquitous Robots, 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

Research and Design on the Cultivation of College Students' Problem Consciousness in Practice Teaching: Taking turning practice of engineering training as an example.
Proceedings of the 14th International Conference on Education Technology and Computers, 2022

Towards Backdoor Attack on Deep Learning based Time Series Classification.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Highly efficient polymer light-emitting devices based on sodium compounds electron injection layer.
Displays, 2021

TAFA: A Task-Agnostic Fingerprinting Algorithm for Neural Networks.
Proceedings of the Computer Security - ESORICS 2021, 2021

A Deep Learning Framework for Self-evolving Hierarchical Community Detection.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 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

Justinian's GAAvernor: Robust Distributed Learning with Gradient Aggregation Agent.
Proceedings of the 29th USENIX Security Symposium, 2020

Privacy Risks of General-Purpose Language Models.
Proceedings of the 2020 IEEE Symposium on Security and Privacy, 2020

Modeling Personalized Out-of-Town Distances in Location Recommendation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
How Sequence-to-Sequence Models Perceive Language Styles?
CoRR, 2019

Statistically Based on-Target Optimization in Micro-Milling of Titanium Alloy<sup>*</sup>.
Proceedings of the 16th International Conference on Ubiquitous Robots, 2019

Development of an Automatic Grinding System for Servo Valve Spool Throttling Edge.
Proceedings of the 16th International Conference on Ubiquitous Robots, 2019

Modeling Extreme Events in Time Series Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Geographical Feature Extraction for Entities in Location-based Social Networks.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Research on a Precise Grinding Device for Servo Valve Spool.
Proceedings of the 15th International Conference on Ubiquitous Robots, 2018

Theoretical Analysis of Image-to-Image Translation with Adversarial Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

An Engineering Training Equipment Self-cognition Method Based on Mobile Phone Quick Response (QR) Codes.
Proceedings of the IEEE 10th International Conference on Engineering Education, 2018

2017
Design of a hydraulic driven Camellia cultivation machine with replaceable working arms.
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

2016
Adaptive predicting control for electrical load simulator.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

Study on measure and pairing algorithm of servo valve nozzles.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

2009
Adaptive Fuzzy Control of Superheat of Hydraulic Oil Source Refrigerating System and Experiment Research.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009


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