Xiaofeng Wang

Advanced Malware Detection Techniques Adversarial Robustness in Machine Learning Anomaly Detection Techniques and Applications Privacy-Preserving Technologies in Data Text and Document Classification Technologies

Publications

Citations

858

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 1998

Research summary

AI-generated

Xiaofeng Wang works in computer science with an emphasis on the security of machine learning systems, including adversarial attacks on speech recognition and diagnosing neural network behavior. The work also spans multi-label image classification with incomplete labels, malware and network attack detection, and applications of signal processing and machine learning to sensing and engineering problems.

Adversarial attacks and machine learning securitySpeech recognition system securityMulti-label classification with missing/partial labelsMalware and network attack (DDoS) detectionSignal processing and neural network sensing applications

Publication activity rose to a peak around 2021-2022 and has been lower in the most recent years, suggesting a modest slowing.

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

Publication cadence

Publications per year over the last 10 years — averaging 4.0/year recently

Recent publications

EvilHarmony: Stealthy Adversarial Attacks Against Black-Box Speech Recognition Systems
2025
A multisource information fusion layering method for penetration fuzes based on fuzzy weighting algorithm and backpropagation
2025
Deep Survival Analysis for Competing Risk Modeling with Functional Covariates and Missing Data Imputation
arXiv (Cornell University) · 2025
Computer simulation and prediction of spectral and molecular properties of artemisinin
2024
Multiple Dynamic Impact Signal Identification Method Based on Lightweight Neural Network With Acceleration Sensor
IEEE Sensors Journal · 2023
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
arXiv (Cornell University) · 2023
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels
arXiv (Cornell University) · 2023
The Key to Autonomous Intelligence is the Effective Synergy of Human-Machine-Environment Systems
Lecture notes in electrical engineering · 2023
Toward Unbiased Multiple-Target Fuzzing with Path Diversity
arXiv (Cornell University) · 2023
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems
ACM Transactions on Privacy and Security · 2022
A Modulation Recognition Method Based on Bispectrum and Ensemble Learning
2022 2nd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI) · 2022
Digital mentor
2022
Generated abstracts: evaluating automatic text summarization for blog posts in gray literature studies
2022
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
arXiv (Cornell University) · 2022
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
arXiv (Cornell University) · 2022

Publishes in

arXiv (Cornell University)×9
Lecture notes in computer science×2
Knowledge-Based Systems×1
ACM Transactions on Privacy and Security×1
2022 IEEE Symposium on Security and Privacy (SP)×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.

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