Demo Data from SIGIR 2026 / reviewers in the wild / expert
Wil Gibbs
dblp:353/7674
· DBLP profile ↗
6ranked-venue papers
1as first author
6since 2021 · last 2026
0009-0006-5439-5548ORCID · reported
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
4 papers |
Systems and software security · 83% Cyber-physical and IoT security · 17% | |
| Software engineering, system software, and programming languages
3 papers |
Compilers and program optimization · 56% Programming languages and type systems · 28% Software testing · 8% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 10 heaviest of 14, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security
vulnerability discovery |
1.5 | 2 | 2024 | 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 › vulnerability discovery
fuzzing |
0.8 | 1 | 2024 | Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing · CCS 2024 |
Compilers and program optimization › program transformation › control flow transformation
control flow structuring |
0.8 | 1 | 2024 | Ahoy SAILR! There is No Need to DREAM of C: A Compiler-Aware Structuring Algorithm for Binary Decompilation · USENIX Security Symposium 2024 |
Compilers and program optimization
decompilation |
0.8 | 1 | 2024 | Ahoy SAILR! There is No Need to DREAM of C: A Compiler-Aware Structuring Algorithm for Binary Decompilation · USENIX Security Symposium 2024 |
Programming languages and type systems
type inference |
0.8 | 1 | 2024 | TYGR: Type Inference on Stripped Binaries using Graph Neural Networks · USENIX Security Symposium 2024 |
Systems and software security
firmware analysis |
0.7 | 1 | 2023 | Greenhouse: Single-Service Rehosting of Linux-Based Firmware Binaries in User-Space Emulation · USENIX Security Symposium 2023 |
Cyber-physical and IoT security
firmware rehosting |
0.7 | 1 | 2023 | Greenhouse: Single-Service Rehosting of Linux-Based Firmware Binaries in User-Space Emulation · USENIX Security Symposium 2023 |
Systems and software security
binary analysis |
0.2 | 1 | 2024 | TYGR: Type Inference on Stripped Binaries using Graph Neural Networks · USENIX Security Symposium 2024 |
Program analysis
binary analysis |
0.2 | 1 | 2024 | Ahoy SAILR! There is No Need to DREAM of C: A Compiler-Aware Structuring Algorithm for Binary Decompilation · USENIX Security Symposium 2024 |
Software testing
dynamic testing |
0.2 | 1 | 2024 | Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust Fuzzing · CCS 2024 |
Methods — techniques the papers use, named apart from their topics
static analysis · 1.5graph neural network · 1.5system call emulation · 1.3binary emulation · 1.3large language model · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Decompiling the Synergy: An Empirical Study of Human-LLM Teaming in Software Reverse Engineering
Zion Leonahenahe Basque, Samuele Doria, Ananta Soneji, Wil Gibbs, Adam Doupé, Yan Shoshitaishvili, Eleonora Losiouk, Ruoyu Wang 0001, Simone Aonzo |
NDSS | 4 |
| 2024 | Fuzz to the Future: Uncovering Occluded Future Vulnerabilities via Robust FuzzingabstractThe 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 |
CCS | 2 |
| 2024 | Ahoy SAILR! There is No Need to DREAM of C: A Compiler-Aware Structuring Algorithm for Binary Decompilation
Zion Leonahenahe Basque, Ati Priya Bajaj, Wil Gibbs, Jude O'Kain, Derron Miao, Tiffany Bao, Adam Doupé, Yan Shoshitaishvili, Ruoyu Wang 0001 |
USENIX Security Symposium | 3 |
| 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 Symposium | 1 |
| 2024 | TYGR: Type Inference on Stripped Binaries using Graph Neural Networks
Ziyang Li 0002, Anton Xue, Ati Priya Bajaj, Wil Gibbs, Rajeev Alur, Tiffany Bao, Hanjun Dai, Adam Doupé, Mayur Naik, Yan Shoshitaishvili, Ruoyu Wang 0001, Aravind Machiry |
USENIX Security Symposium | 5 |
| 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 Symposium | 7 |