This is a Homepage:
I am a PhD candidate with the School of Cyber Science and Engineering, Shanghai Jiao Tong University.
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Research subject: Provable security in machine learing.
Publications ((co)first/corresponding-author):
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"Laplace Exponential Family Principal Component Analysis",
International Conference on Intelligent Computing (ICIC 2018),
Lecture Notes on Computer Science (LNCS), Springer
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"Bayesian Possibilistic C-Means Clustering Screening for Cervical Cancer",
Information Sciences (JCR-Q1).
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"Maximizing Influence on Social Networks with Conjugate Learning Automata",
Globecom 2019, SAC::Social Network Track (CCF-C).
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"On the Submodularity of Diffusion Models: Equivalent Conditions and Applications",
(pre-print).
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"Large-Scale Malicious Software Classification with Fuzzified Features and Boosted Fuzzy Random Forest",
IEEE Transactions on Fuzzy Systems (JCR-Q1, CCF-B).
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"Secure Watermark for Deep Neural Networks with Multi-task Learning.",
AAAI2022@SafeAI.
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"Persistant Watermark for Image Classification Neural Networks by Penetrating the Autoencoder.",
IEEE ICIP 2021 (CCF-C).
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Towards Practical Protocols of Deep Learning Model Watermark for Federated Learning.,
ICMEW2022.
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Protecting Deep Cerebrospinal Fluid Cell Imaging Models with Backdoor and Semi-Distillation.,
IEEE DICTA 2021 (Austr. Core B).
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Regulating Ownership Verification for Deep Neural Networks: Scenarios, Protocols, and Prospects..
IJCAI 2021@Toward Intellectual Property Protection on Deep Learning as a Services.
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Fostering the Robustness of White-box Deep Neural Network Watermarks by Neuron Alignment.,
ICASSP2022 (CCF-B).
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Online Intrusion Detection for IoT Systems with Full Bayesian Possibilistic Clustering and Ensembled Fuzzy Classifiers.
IEEE Trans. on Fuzzy Systems (JCR-Q1, CCF-B).
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Ownership Verification Protocols for DNN Intellectual Property Protection.
(Book chapter)
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PLMmark: A Secure and Robust Black-box Watermarking Framework for Pre-trained Language Models.
AAAI2023 (CCF-A).
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Linear Functionality Equivalence Attack against Deep Neural Network Watermarks and a Defense Method by Neuron Mapping.
IEEE TIFS (JCR-Q1, CCF-A).
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Solving the Capsulation Attack against Backdoor-based Deep Neural Network Watermarks by Reversing Triggers.
ICASSP2023 (CCF-B).
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Revisiting the Information Capacity of Deep Neural Network Watermarks: Upper Bound Estimation and Beyond.
AAAI2024 (CCF-A).
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Data-Free Watermark for Deep Neural Networks by Truncated Adversarial Distillation.
ICASSP2024 (CCF-B).
Services:
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Reviewer for APSIPA 2019.
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Reviewer for ICECCS 2020.
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TPC member of APSIPA 2020.
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TPC member of APSIPA 2021.
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TPC member of APSIPA 2022.
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Area Chair of APSIPA 2023.
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TPC member of AAAI 2024.
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TPC member of ACM MM 2024.
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Reviewer for IEEE Transactions on Fuzzy Systems.
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Reviewer for IEEE Transactions on Neural Network and Learning Systems.
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Reviewer for IEEE Transactions on Information Forensics and Security.
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Reviewer for IEEE Transactions on Dependable and Secure Computing.
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Reviewer for Pattern Recognition.
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Reviewer for IEEE Transcations on Artificial Intelligence.
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Reviewer for Information Fusion.
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Reviewer for IEEE Transcations on Services Computing.
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TA for Information Theory and Encoding (NIS7007), Fall 2020, Fall 2023.
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上海交通大学电子信息与电气工程学院B21级033、036、037思政。
Competitions:
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The 9th National College Student Information Security Contest (CISCN 2016),
"Deep Learning Based Detection System of Fishing SMS"
First prize nationwide(project competetion), 08/2016.
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The 26th Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM 2017),
"Probability-based Scheme for Crowdsourcing Pricing"
Second prize nationwide, First prize in Shanghai division, Top 2 in solving this problem within SJTU, 10/2017.
Open-source and non-profit essays:
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Lecture notes for The 26th Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM 2017) on Principal Component Analysis and slide.
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Lecture notes for The 26th Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM 2017) on QueuingTheory and slide.
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Lecture notes for Mathematical Contest in Modeling/The Interdisciplinary Contest in Modeling (MCM/ICM 2018) on Bayesian Network.
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Lecture notes for Mathematical Contest in Modeling/The Interdisciplinary Contest in Modeling (MCM/ICM 2018) on Convex Optimization.
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Partial solution to machine learning textbook "Machine Learning: A Probabilistic Perspective".