Zilong Lin

Advanced Malware Detection Techniques Adversarial Robustness in Machine Learning Hate Speech and Cyberbullying Detection Image Retrieval and Classification Techniques Text and Document Classification Technologies

Publications

Citations

424

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2020

Research summary

AI-generated

Zilong Lin works in computer security and machine learning, with recent studies examining how large language models can be misused for cybercrime and malicious online services. Other work covers feature selection methods for organizing and classifying data, adversarial machine learning (fooling or attacking detection systems), and privacy protection in collaborative learning.

Cybersecurity and malware detectionMisuse of large language modelsFeature selection and data classificationAdversarial machine learningPrivacy-preserving machine learning

Publication activity has grown noticeably in the most recent years, with the highest output in 2024 and 2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.4/year recently

Recent publications

Mutable hierarchy feature selection based on generalized fuzzy rough sets
Applied Soft Computing · 2025
Hierarchical feature selection driven by inter-category relevance and semantic independence
Pattern Recognition · 2025
Bidirectional Patch-Aware Attention Network for Few-Shot Learning
IEEE Transactions on Computational Social Systems · 2025
Information Leakage and Privacy Protection in Industrial Federated Learning
IEEE Transactions on Systems Man and Cybernetics Systems · 2025
Consiglieres in the Shadow: Understanding the Use of Uncensored Large Language Models in Cybercrimes
arXiv (Cornell University) · 2025
Multi-label feature selection via similarity constraints with non-negative matrix factorization
Knowledge-Based Systems · 2024
Hierarchical feature selection based on neighborhood interclass spacing from fine to coarse
Neurocomputing · 2024
Malla: Demystifying Real-world Large Language Model Integrated Malicious Services
arXiv (Cornell University) · 2024
IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection
Lecture notes in computer science · 2022
Demystifying Local Business Search Poisoning for Illicit Drug Promotion
2022
An effective, green and mild deproteinization method for polysaccharides of Ruditapes philippinarum by attapulgite-based silk fibroin composite aerogel
International Journal of Biological Macromolecules · 2021
Effect of Surface Ultrasonic Rolling Treatment on Rolling Contact Fatigue Life of D2 Wheel Steel
Materials · 2020
Design and Implementation of Intelligent Scoring System for Handwritten Short Answer Based on Deep Learning
2020

Publishes in

arXiv (Cornell University)×3
Lecture notes in computer science×1
Knowledge-Based Systems×1
International Journal of Biological Macromolecules×1
Materials×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

Claim or correct this profile