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Arvind S. Raj

dblp:185/3910 · DBLP profile ↗
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6ranked-venue papers
1as first author
6since 2021 · last 2026
0009-0008-4367-0502ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 6 · 1 first-author · 6 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
6 papers
Systems and software security · 81% Cyber-physical and IoT security · 19%
Software engineering, system software, and programming languages
3 papers
Program analysis · 57% Software testing · 43%

Topics — the 10 heaviest of 14, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security
vulnerability discovery
1.522024
Operation Mango: Scalable Discovery of Taint-Style Vulnerabilities in Binary Firmware Services · USENIX Security Symposium 2024
Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing · CCS 2024
Systems and software security › reverse engineering
decompilation
1.012026
Oxidizer: Toward Concise and High-fidelity Rust Decompilation · SP 2026
Systems and software security
program analysis
1.012026
Oxidizer: Toward Concise and High-fidelity Rust Decompilation · SP 2026
Cyber-physical and IoT security › industrial control system security
programmable logic controller security
1.012026
Discovering Blind-Trust Vulnerabilities in PLC Binaries via State Machine Recovery · NDSS 2026
Systems and software security › vulnerability management
vulnerability disclosure
1.012026
Responsible Disclosure is a Two-Way Street: Empirically Measuring the Responsible Disclosure Contract in the Firmware Ecosystem · SP 2026
Systems and software security
vulnerability management
1.012026
Responsible Disclosure is a Two-Way Street: Empirically Measuring the Responsible Disclosure Contract in the Firmware Ecosystem · SP 2026
Systems and software security › vulnerability discovery
fuzzing
0.812024
Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing · CCS 2024
Systems and software security
firmware analysis
0.712023
Greenhouse: Single-Service Rehosting of Linux-Based Firmware Binaries in User-Space Emulation · USENIX Security Symposium 2023
Cyber-physical and IoT security
firmware rehosting
0.712023
Greenhouse: Single-Service Rehosting of Linux-Based Firmware Binaries in User-Space Emulation · USENIX Security Symposium 2023
Software testing
dynamic testing
0.212024
Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing · CCS 2024

Methods — techniques the papers use, named apart from their topics

state machine recovery · 2.0decompilation · 2.0static analysis · 1.5system call emulation · 1.3binary emulation · 1.3empirical measurement · 1.0
YearPublicationVenuePosition
2026 Discovering Blind-Trust Vulnerabilities in PLC Binaries via State Machine Recovery
Fangzhou Dong, Arvind S. Raj, Efrén López-Morales, Yan Shoshitaishvili, Tiffany Bao, Adam Doupé, Muslum Ozgur Ozmen, Ruoyu Wang 0001
NDSS2
2026 Oxidizer: Toward Concise and High-fidelity Rust Decompilation
Zion Leonahenahe Basque, Arvind S. Raj, Chavin Udomwongsa, Jie Hu 0031, Changyu Zhao, Fangzhou Dong, Adam Doupé, Tiffany Bao, Yan Shoshitaishvili, Ruoyu Wang 0001
SP3
2026 Responsible Disclosure is a Two-Way Street: Empirically Measuring the Responsible Disclosure Contract in the Firmware Ecosystem
Hui Jun Tay, Souradip Nath, Arvind S. Raj, Abhay Bhat, Ishan Bansal, Audrey Dutcher, Moritz Schloegel, Adam Doupé, Tiffany Bao, Yan Shoshitaishvili, Ruoyu Wang 0001
SP3
2024 Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing
abstract
The security landscape of software systems has witnessed considerable advancements through dynamic testing methodologies, especially fuzzing. Traditionally, fuzzing involves a sequential, cyclic process where software is tested to identify crashes. These crashes are then triaged and patched, leading to subsequent cycles that uncover further vulnerabilities. While effective, this method is not efficient as each cycle potentially reveals new issues previously obscured by earlier crashes, thus resulting in vulnerabilities being discovered sequentially.
Arvind S. Raj, Wil Gibbs, Fangzhou Dong, Jayakrishna Vadayath, Michael Tompkins, Steven Wirsz, Zhenghao Hu, Gokulkrishna Praveen Menon, Brendan Dolan-Gavitt, Adam Doupé, Ruoyu Wang 0001, Yan Shoshitaishvili, Tiffany Bao
CCS1
2024 Operation Mango: Scalable Discovery of Taint-Style Vulnerabilities in Binary Firmware Services
Wil Gibbs, Arvind S. Raj, Jayakrishna Vadayath, Hui Jun Tay, Justin Miller, Akshay Ajayan, Zion Leonahenahe Basque, Audrey Dutcher, Fangzhou Dong, Xavier J. Maso, Giovanni Vigna, Christopher Krügel, Adam Doupé, Yan Shoshitaishvili, Ruoyu Wang 0001
USENIX Security Symposium2
2023 Greenhouse: Single-Service Rehosting of Linux-Based Firmware Binaries in User-Space Emulation
Hui Jun Tay, Kyle Zeng, Jayakrishna Vadayath, Arvind S. Raj, Audrey Dutcher, Tejesh Reddy, Wil Gibbs, Zion Leonahenahe Basque, Fangzhou Dong, Zack Smith, Adam Doupé, Tiffany Bao, Yan Shoshitaishvili, Ruoyu Wang 0001
USENIX Security Symposium4