Chengyu Song

Chengyu Song

University of California, Riverside

H-index: 31

North America-United States

About Chengyu Song

Chengyu Song, With an exceptional h-index of 31 and a recent h-index of 26 (since 2020), a distinguished researcher at University of California, Riverside, specializes in the field of Security, Operating System, Program Language.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem

Spectre Returns! Speculation Attacks using the Return Stack Buffer

K-LEAK: Towards Automating the Generation of Multi-Step Infoleak Exploits against the Linux Kernel

R-Fuzz at SBFT’2023

Leveraging local patch differences in multi-object scenes for generative adversarial attacks

Gama: Generative adversarial multi-object scene attacks

Blackbox attacks via surrogate ensemble search

LinKRID: Vetting Imbalance Reference Counting in Linux kernel with Symbolic Execution

Chengyu Song Information

University

Position

___

Citations(all)

4050

Citations(since 2020)

2942

Cited By

2113

hIndex(all)

31

hIndex(since 2020)

26

i10Index(all)

48

i10Index(since 2020)

45

Email

University Profile Page

Google Scholar

Chengyu Song Skills & Research Interests

Security

Operating System

Program Language

Top articles of Chengyu Song

An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem

arXiv preprint arXiv:2402.05212

2024/2/7

Spectre Returns! Speculation Attacks using the Return Stack Buffer

IEEE Design & Test

2024/1/10

K-LEAK: Towards Automating the Generation of Multi-Step Infoleak Exploits against the Linux Kernel

31st Annual Network and Distributed System Security Symposium, NDSS

2024

R-Fuzz at SBFT’2023

2023/5/1

Leveraging local patch differences in multi-object scenes for generative adversarial attacks

2023

Gama: Generative adversarial multi-object scene attacks

2022/9/20

Blackbox attacks via surrogate ensemble search

2022/11

LinKRID: Vetting Imbalance Reference Counting in Linux kernel with Symbolic Execution

2022/8

SYMSAN: Time and Space Efficient Concolic Execution via Dynamic Data-flow Analysis

2022/8

Context-aware transfer attacks for object detection

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Jigsaw: Efficient and scalable path constraints fuzzing

2022/5/22

Progressive Scrutiny: Incremental Detection of UBI bugs in the Linux Kernel

2022 Network and Distributed System Security Symposium

2022/1

Zero-query transfer attacks on context-aware object detectors

2022

Zikui Cai
Zikui Cai

H-Index: 1

Chengyu Song
Chengyu Song

H-Index: 22

Combining Neural and Behavioral Measures Enhances Adaptive Training

Frontiers in Human Neuroscience

2022

Md Lutfor Rahman
Md Lutfor Rahman

H-Index: 24

Chengyu Song
Chengyu Song

H-Index: 22

Adc: Adversarial attacks against object detection that evade context consistency checks

2022

Shasha Li
Shasha Li

H-Index: 8

Chengyu Song
Chengyu Song

H-Index: 22

Adversarial attacks on black box video classifiers: Leveraging the power of geometric transformations

Advances in Neural Information Processing Systems

2021/12/6

ARMPatch: A binary patching framework for ARM-based IoT devices

Journal of Web Engineering

2021/9

Chengyu Song
Chengyu Song

H-Index: 22

Reinforcement Learning-based Hierarchical Seed Scheduling for Greybox Fuzzing

2021/2

Chengyu Song
Chengyu Song

H-Index: 22

Heng Yin
Heng Yin

H-Index: 29

Exploiting multi-object relationships for detecting adversarial attacks in complex scenes

2021

CrFuzz: Fuzzing Multi-purpose Programs through Input Validation

2020/11/8

See List of Professors in Chengyu Song University(University of California, Riverside)

Co-Authors

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