Lichao Sun

发表

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning

Qiben Yan, Minglai Shao, Lichao Sun, 2021, Comput. Secur..

Secure Network Release with Link Privacy pdf

Bo Li, Carl Yang, Haonan Wang, 2020, ArXiv.

FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization

Lichao Sun, Dezhong Yao, Wanning Pan, 2021, ArXiv.

Membership Inference via Backdooring

Hongsheng Hu, Z. Salcic, G. Dobbie, 2022, IJCAI.

SECURE EMBEDDING AGGREGATION

Kai Zhang, Songze Li, Jinbao Zhu, 2022 .

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation

Songze Li, Jinbao Zhu, Jiaxiang Tang, 2022, IACR Cryptol. ePrint Arch..

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks

Carl Yang, Lichao Sun, Lingjuan Lyu, 2022, IJCAI.

Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis

Carl Yang, Yanqiao Zhu, Lifang He, 2021, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

Lifu Huang, Lichao Sun, Aditya Shah, 2022, ArXiv.

Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation

Chen Chen, L. Lyu, Zhengming Ding, 2022, ArXiv.

PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples

W. Liu, Junhui Hou, Shengshan Hu, 2022, AAAI.

Tackling Data Heterogeneity in Federated Learning with Class Prototypes

Ran Xu, Yutong Dai, Lichao Sun, 2022, AAAI.

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Zichuan Xu, Wenzheng Xu, Daizong Liu, 2023, EMNLP.

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation

Songze Li, Jinbao Zhu, Lichao Sun, 2022, IACR Cryptol. ePrint Arch..

Subgraph Federated Learning with Missing Neighbor Generation pdf

Carl Yang, Lichao Sun, Xiaoxiao Li, 2021, NeurIPS.

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data

Md Zakirul Alam Bhuiyan, Hao Peng, Lifang He, 2022, IEEE Transactions on Industrial Informatics.

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks

Philip S. Yu, Wenpeng Yin, Congying Xia, 2020, ArXiv.

Source Inference Attacks in Federated Learning

Gillian Dobbie, Zoran Salcic, Xuyun Zhang, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Localization of multiple diffusion sources based on overlapping community detection

Philip S. Yu, Zhixiao Wang, Lichao Sun, 2020, Knowl. Based Syst..

Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks

Jie Xu, Renyu Yang, Hao Peng, 2021, IEEE Transactions on Neural Networks and Learning Systems.

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN pdf

Yu Wang, Lichao Sun, Zhiwei Liu, 2021, CIKM.

FedBERT: When Federated Learning Meets Pre-training

Lichao Sun, Lingjuan Lyu, Dezhong Yao, 2022, ACM Trans. Intell. Syst. Technol..

Local-Global Knowledge Distillation in Heterogeneous Federated Learning with Non-IID Data

Yutong Dai, Lichao Sun, Hai Jin, 2021, 2107.00051.

Federated Model Distillation with Noise-Free Differential Privacy

L. Lyu, Lichao Sun, 2020, IJCAI.

LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

Philip S. Yu, Jianwei Qian, Lichao Sun, 2020, IJCAI.

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks

Lifang He, Hao Peng, Carl Yang, 2021, IJCAI.

SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency

Yiming Li, Hanqing Guo, Lichao Sun, 2023, ICLR.

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation

Hongyi Wang, Carl Yang, Lifu Huang, 2022, EMNLP.

Personalized Edge Intelligence via Federated Self-Knowledge Distillation

Hai Jin, Yutong Dai, Lichao Sun, 2023, IEEE Transactions on Parallel and Distributed Systems.

Memory-adaptive Depth-wise Heterogenous Federated Learning

Eric P. Xing, Hongyi Wang, Kai Zhang, 2023, ArXiv.

Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding

Shiyu Chang, Mo Yu, Lifu Huang, 2021, FINDINGS.

Backdoor Attacks to Pre-trained Unified Foundation Models

Lichao Sun, Yixin Liu, Pan Zhou, 2023, ArXiv.

DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems pdf

Lichao Sun, Qiben Yan, Ce Zhou, 2021, USENIX Security Symposium.

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!

L. Lyu, Qiongkai Xu, Lichao Sun, 2021, NAACL.

Transferable Unlearnable Examples

Xingjun Ma, J. Ren, Han Xu, 2022, ArXiv.

Federated Multi-view Learning for Private Medical Data Integration and Analysis pdf

Hao Peng, Lichao Sun, Lifang He, 2021, ACM Trans. Intell. Syst. Technol..

Natural Backdoor Attack on Text Data pdf

Lichao Sun, Lichao Sun, 2020, ArXiv.

You see what I want you to see: poisoning vulnerabilities in neural code search

Guandong Xu, Yulei Sui, Lichao Sun, 2022, ESEC/SIGSOFT FSE.

Federated Depression Detection from Multi-SourceMobile Health Data pdf

Hao Peng, Hongyuan Ma, Lichao Sun, 2021, ArXiv.

FedMood: Federated Learning on Mobile Health Data for Mood Detection

Md. Zakirul Alam Bhuiyan, Hao Peng, Lifang He, 2021, 2102.09342.

Towards Personalized Federated Learning Via Group Collaboration in IIoT

Jianfeng Lu, Lichao Sun, Shaohua Wan, 2022, IEEE Transactions on Industrial Informatics.

Structure-Preserving Graph Kernel for Brain Network Classification

Hao Peng, Carl Yang, A. Leow, 2021, 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph

Hao Peng, Philip S. Yu, Jianxin Li, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Watermarking Text Data on Large Language Models for Dataset Copyright Protection

Hongsheng Hu, Xuyun Zhang, Lichao Sun, 2023, ArXiv.

Secure Embedding Aggregation for Federated Representation Learning

Songze Li, Jinbao Zhu, Jiaxiang Tang, 2022, 2206.09097.

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Hui Liu, J. Ren, Han Xu, 2023, ArXiv.

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT

Lichao Sun, Yixin Liu, Pan Zhou, 2023, ArXiv.

User Preference-aware Fake News Detection

Philip S. Yu, Kai Shu, Lichao Sun, 2021, SIGIR.

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data

Xu Sun, Weiqiang Wang, Lichao Sun, 2021, ICLR.

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models

Lifu Huang, Lichao Sun, Jin-Hee Cho, 2022, SIGIR.

Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning pdf

Philip S. Yu, Alex D. Leow, Witawas Srisa-an, 2017, ECML/PKDD.

Secure Deep Graph Generation with Link Differential Privacy

Carl Yang, Liang Chen, Lichao Sun, 2020, IJCAI.

SigPID: significant permission identification for android malware detection

Witawas Srisa-an, Qiben Yan, Zhiqiang Li, 2016, 2016 11th International Conference on Malicious and Unwanted Software (MALWARE).

Target Privacy Preserving for Social Networks

Philip S. Yu, Hui Li, Jianfeng Ma, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration

Sotiris Ioannidis, Jason Polakis, Michalis Diamantaris, 2021, CCS.

Membership Inference Attacks on Knowledge Graphs pdf

Yu Wang, Lichao Sun, Lichao Sun, 2021, ArXiv.

Secure Network Release with Link Privacy

Bo Li, Carl Yang, Lichao Sun, 2020, ArXiv.

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs

Chaoyang He, Chulin Xie, S. Avestimehr, 2023, ArXiv.

DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware

Witawas Srisa-an, Qiben Yan, Zhiqiang Li, 2016, SecureComm.

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs

Kai Zhang, Chaoyang He, Chulin Xie, 2023, ArXiv.

Multiplex Graph Networks for Multimodal Brain Network Analysis pdf

Hao Peng, Zhaoming Kong, Liang Zhan, 2021, ArXiv.

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models

Hui Liu, J. Ren, Han Xu, 2023, ArXiv.

PASS: Personalized Advertiser-aware Sponsored Search

Senzhang Wang, Wen Zhang, Chaozhuo Li, 2023, KDD.

Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning

Philip S. Yu, Alex D. Leow, Witawas Srisa-an, 2020, IEEE Transactions on Mobile Computing.

Global Knowledge Distillation in Federated Learning pdf

Lichao Sun, Wanning Pan, Lichao Sun, 2021, ArXiv.