Lichao Sun
Orcid: 0000-0003-1539-7939Affiliations:
- Lehigh University, Bethlehem, PA, USA
- University of Illinois, IL, USA (former)
- University of Nebraska Lincoln, NE, USA (former)
According to our database1,
Lichao Sun
authored at least 137 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
IEEE Trans. Computers, January, 2024
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.
CoRR, 2024
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.
CoRR, 2024
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Ind. Informatics, August, 2023
ACM Trans. Knowl. Discov. Data, July, 2023
IEEE Trans. Parallel Distributed Syst., February, 2023
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts.
CoRR, 2023
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis.
CoRR, 2023
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models.
CoRR, 2023
CoRR, 2023
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation.
CoRR, 2023
MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents.
CoRR, 2023
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Instruction Mining: High-Quality Instruction Data Selection for Large Language Models.
CoRR, 2023
CoRR, 2023
CoRR, 2023
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.
CoRR, 2023
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.
CoRR, 2023
CoRR, 2023
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT.
CoRR, 2023
CoRR, 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.
CoRR, 2023
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation.
CoRR, 2023
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ACM Comput. Surv., January, 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
ACM Trans. Intell. Syst. Technol., 2022
ACM Trans. Intell. Syst. Technol., 2022
ACM Trans. Intell. Syst. Technol., 2022
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data.
IEEE Trans. Ind. Informatics, 2022
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation.
IACR Cryptol. ePrint Arch., 2022
CoRR, 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
CoRR, 2022
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems.
Proceedings of the 31st USENIX Security Symposium, 2022
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Mob. Comput., 2021
Knowl. Based Syst., 2021
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization.
CoRR, 2021
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks.
CoRR, 2021
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs.
CoRR, 2021
CoRR, 2021
Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.
Comput. Secur., 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021
2020
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy.
CoRR, 2020
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.
CoRR, 2020
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Significant Permission Identification for Machine-Learning-Based Android Malware Detection.
IEEE Trans. Ind. Informatics, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
2017
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware.
Proceedings of the Security and Privacy in Communication Networks, 2016
Proceedings of the 11th International Conference on Malicious and Unwanted Software, 2016