Fangqi Li

Orcid: 0000-0001-7965-5170

Affiliations:
  • Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China


According to our database1, Fangqi Li authored at least 47 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
A Novel Self-Supervised Framework Based on Masked Autoencoder for Traffic Classification.
IEEE/ACM Trans. Netw., June, 2024

NSmark: Null Space Based Black-box Watermarking Defense Framework for Pre-trained Language Models.
CoRR, 2024

Efficient and Effective Model Extraction.
CoRR, 2024

Reliable Model Watermarking: Defending against Theft without Compromising on Evasion.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Data-Free Watermark for Deep Neural Networks by Truncated Adversarial Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedules.
Proceedings of the IEEE International Conference on Acoustics, 2024

R-Judge: Benchmarking Safety Risk Awareness for LLM Agents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Revisiting the Information Capacity of Neural Network Watermarks: Upper Bound Estimation and Beyond.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning automata-accelerated greedy algorithms for stochastic submodular maximization.
Knowl. Based Syst., December, 2023

Linear Functionality Equivalence Attack Against Deep Neural Network Watermarks and a Defense Method by Neuron Mapping.
IEEE Trans. Inf. Forensics Secur., 2023

Measuring and Understanding Crowdturfing in the App Store.
Inf., 2023

Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule.
CoRR, 2023

FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Measure and Countermeasure of the Capsulation Attack Against Backdoor-Based Deep Neural Network Watermarks.
Proceedings of the IEEE International Conference on Acoustics, 2023

PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Online Intrusion Detection for Internet of Things Systems With Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers.
IEEE Trans. Fuzzy Syst., 2022

Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers.
CoRR, 2022

Reduce Communication Costs and Preserve Privacy: Prompt Tuning Method in Federated Learning.
CoRR, 2022

Knowledge-Free Black-Box Watermark and Ownership Proof for Image Classification Neural Networks.
CoRR, 2022

Watermarking Protocol for Deep Neural Network Ownership Regulation in Federated Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Fostering The Robustness Of White-Box Deep Neural Network Watermarks By Neuron Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2022

Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021
An Efficient Parameter-Free Learning Automaton Scheme.
IEEE Trans. Neural Networks Learn. Syst., 2021

Large-Scale Malicious Software Classification With Fuzzified Features and Boosted Fuzzy Random Forest.
IEEE Trans. Fuzzy Syst., 2021

FastCover: An Unsupervised Learning Framework for Multi-Hop Influence Maximization in Social Networks.
CoRR, 2021

Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects.
CoRR, 2021

Towards Practical Watermark for Deep Neural Networks in Federated Learning.
CoRR, 2021

Secure Watermark for Deep Neural Networks with Multi-task Learning.
CoRR, 2021

Bayesian inference based learning automaton scheme in Q-model environments.
Appl. Intell., 2021

Persistent Watermark For Image Classification Neural Networks By Penetrating The Autoencoder.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Protecting Deep Cerebrospinal Fluid Cell Image Processing Models with Backdoor and Semi-Distillation.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Sensor Deployment for Wireless Sensor Networks: A Conjugate Learning Automata-Based Energy-Efficient Approach.
IEEE Wirel. Commun., 2020

Evaluation and Comparison of Diffusion Models with Motif Features.
CoRR, 2020

Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata.
CoRR, 2020

Solving the Three-Player-Game.
CoRR, 2020

The Electromagnetic Balance Game: A Probabilistic Perspective.
CoRR, 2020

On the Submodularity of Diffusion Models: Equivalent Conditions and Applications.
CoRR, 2020

Gaussian Process Bandits for Online Influence Maximization.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
A Bayesian Possibilistic C-Means clustering approach for cervical cancer screening.
Inf. Sci., 2019

A Novel Framework for Learning Automata: A Statistical Hypothesis Testing Approach.
IEEE Access, 2019

Maximizing Influence on Social Networks with Conjugate Learning Automata.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Laplace Exponential Family PCA.
Proceedings of the Intelligent Computing Theories and Application, 2018

Lip Segmentation with Muti-scale Features Based on Fully Convolution Network.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

A Multi-view Deep Learning Approach for Detecting Threats on 3D Human Body.
Proceedings of the Communications, Signal Processing, and Systems, 2018

An Efficient Classification Method of Uncertain Data with Sampling.
Proceedings of the Communications, Signal Processing, and Systems, 2018

2017
Probabilistic Model of Object Detection Based on Convolutional Neural Network.
Proceedings of the Communications, Signal Processing, and Systems, 2017

2016
Gaussian Iteration: A Novel Way to Collaborative Filtering.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016


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