Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds.

[BibT_eX]

[DOI]

Xiaowen Cai

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement.

[BibT_eX]

[DOI]

Nikhil Ambha Madhusudhana

John W. Nicholson

Lichao Sun

Brian D. Davison

Proceedings of the Pattern Recognition - 27th International Conference, 2024

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Interpretation Faithfulness for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Virtual Context Enhancing Jailbreak Attacks with Special Token Injection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EditShield: Protecting Unauthorized Image Editing by Instruction-Guided Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Optimization-based Prompt Injection Attack to LLM-as-a-Judge.

[BibT_eX]

[DOI]

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

AlignBench: Benchmarking Chinese Alignment of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adversarial Attack and Defense on Graph Data: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., August, 2023

Toward Personalized Federated Learning Via Group Collaboration in IIoT.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, August, 2023

Triadic Closure Sensitive Influence Maximization.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, July, 2023

Personalized Edge Intelligence via Federated Self-Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., February, 2023

An in-depth study on key nodes in social networks.

[BibT_eX]

[DOI]

Intell. Data Anal., 2023

Efficient Few-Shot Clinical Task Adaptation with Large Language Models.

[BibT_eX]

[DOI]

Kaipeng Zheng

Weiran Huang

Lichao Sun

CoRR, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2023

AlignBench: Benchmarking Chinese Alignment of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Faithfulness for Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2023

ACT: Adversarial Consistency Models.

[BibT_eX]

[DOI]

CoRR, 2023

Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Graph Foundation Models: A Survey and Beyond.

[BibT_eX]

[DOI]

CoRR, 2023

GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation.

[BibT_eX]

[DOI]

CoRR, 2023

MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents.

[BibT_eX]

[DOI]

Yuan Li

Yixuan Zhang

Lichao Sun

CoRR, 2023

Harnessing the Power of ChatGPT in Fake News: An In-Depth Exploration in Generation, Detection and Explanation.

[BibT_eX]

[DOI]

Yue Huang

Lichao Sun

CoRR, 2023

InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4.

[BibT_eX]

[DOI]

CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.

[BibT_eX]

[DOI]

CoRR, 2023

Instruction Mining: High-Quality Instruction Data Selection for Large Language Models.

[BibT_eX]

[DOI]

Yihan Cao

Yanbin Kang

Lichao Sun

CoRR, 2023

TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Decentralized Federated Learning: A Survey and Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Watermarking Text Data on Large Language Models for Dataset Copyright Protection.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Memory-adaptive Depth-wise Heterogenous Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

[BibT_eX]

[DOI]

CoRR, 2023

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation.

[BibT_eX]

[DOI]

CoRR, 2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

[BibT_eX]

[DOI]

CoRR, 2023

Backdoor Attacks to Pre-trained Unified Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Attacking Fake News Detectors via Manipulating News Social Engagement.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Scalable Adversarial Attack Algorithms on Influence Maximization.

[BibT_eX]

[DOI]

Lichao Sun

Xiaobin Rui

Wei Chen

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.

[BibT_eX]

[DOI]

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scalable Fair Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Generalizable Agents via Saliency-guided Features Decorrelation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PASS: Personalized Advertiser-aware Sponsored Search.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Secure Embedding Aggregation for Federated Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Transferable Unlearnable Examples.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SEAT: Stable and Explainable Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Tackling Data Heterogeneity in Federated Learning with Class Prototypes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Membership Inference Attacks on Machine Learning: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., January, 2022

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

FedBERT: When Federated Learning Meets Pre-training.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

A Survey on Text Classification: From Traditional to Deep Learning.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

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

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data.

[BibT_eX]

[DOI]

Xiaohang Xu

Hao Peng

Md. Zakirul Alam Bhuiyan

IEEE Trans. Ind. Informatics, 2022

Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation.

[BibT_eX]

[DOI]

IACR Cryptol. ePrint Arch., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Benchmarking Node Outlier Detection on Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Backdoor Attacks on Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Structure-Preserving Graph Kernel for Brain Network Classification.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Data-Free Adversarial Knowledge Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Membership Inference via Backdooring.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

The 1st International Workshop on Federated Learning with Graph Data (FedGraph).

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-View Brain Network Analysis with Cross-View Missing Network Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

SplitFed: When Federated Learning Meets Split Learning.

[BibT_eX]

[DOI]

Chandra Thapa

Mahawaga Arachchige Pathum Chamikara

Seyit Camtepe

Lichao Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2021

Localization of multiple diffusion sources based on overlapping community detection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Multiplex Graph Networks for Multimodal Brain Network Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

Global Knowledge Distillation in Federated Learning.

[BibT_eX]

[DOI]

Wanning Pan

Lichao Sun

CoRR, 2021

Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Multi-View Learning for Private Medical Data Integration and Analysis.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Depression Detection from Multi-SourceMobile Health Data.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Comput. Secur., 2021

User Preference-aware Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Subgraph Federated Learning with Missing Neighbor Generation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Secure Deep Graph Generation with Link Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

[BibT_eX]

[DOI]

Lichao Sun

Jianwei Qian

Xun Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Federated Model Distillation with Noise-Free Differential Privacy.

[BibT_eX]

[DOI]

Lichao Sun

Lingjuan Lyu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Source Inference Attacks in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

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

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Privacy and Robustness in Federated Learning: Attacks and Defenses.

[BibT_eX]

[DOI]

CoRR, 2020

Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Text Classification: From Shallow to Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Secure Network Release with Link Privacy.

[BibT_eX]

[DOI]

CoRR, 2020

Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT.

[BibT_eX]

[DOI]

CoRR, 2020

Differentially Private Deep Learning with Smooth Sensitivity.

[BibT_eX]

[DOI]

CoRR, 2020

Influence Maximization with Spontaneous User Adoption.

[BibT_eX]

[DOI]

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Target Privacy Preserving for Social Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Self-Activation Influence Maximization.

[BibT_eX]

[DOI]

CoRR, 2019

Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Private Model Compression via Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Significant Permission Identification for Machine-Learning-Based Android Malware Detection.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

Adversarial Attack and Defense on Graph Data: A Survey.

[BibT_eX]

[DOI]

CoRR, 2018

Unsupervised Meta-path Reduction on Heterogeneous Information Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Round Influence Maximization (Extended Version).

[BibT_eX]

[DOI]

CoRR, 2018

Multi-Round Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Deep Learning towards Mobile Applications.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Contaminant removal for Android malware detection systems.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2016

SigPID: significant permission identification for android malware detection.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Malicious and Unwanted Software, 2016

Lichao Sun

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...