Demo Data from VLDB 2026 / reviewers in the wild / expert
Anas Balboul
dblp:430/0967
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-3311-8561ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 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.
| Software engineering, system software, and programming languages
1 paper |
Program analysis · 61% Compilers and program optimization · 30% Runtime systems and virtual machines · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
binary rewriting |
1.0 | 1 | 2026 | NOProbe: A NOP-Based Dynamic Binary Instrumentation Framework Using Binary Rewriting on x86 · IEEE Trans. Dependable Secur. Comput. 2026 |
Program analysis
dynamic analysis |
1.0 | 1 | 2026 | NOProbe: A NOP-Based Dynamic Binary Instrumentation Framework Using Binary Rewriting on x86 · IEEE Trans. Dependable Secur. Comput. 2026 |
Program analysis › dynamic analysis
dynamic binary instrumentation |
1.0 | 1 | 2026 | NOProbe: A NOP-Based Dynamic Binary Instrumentation Framework Using Binary Rewriting on x86 · IEEE Trans. Dependable Secur. Comput. 2026 |
Methods — techniques the papers use, named apart from their topics
trampoline placement · 1.0binary rewriting · 1.0NOP padding · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | NOProbe: A NOP-Based Dynamic Binary Instrumentation Framework Using Binary Rewriting on x86abstractDynamic Binary Instrumentation (DBI) in user space often suffers from low probe insertion success rates and high execution overhead, due to challenges in handling the compact instruction layouts ($\lt $5 bytes) and complex trampoline placement constraints. Existing techniques are either limited in scope, incur high runtime overhead, or rely on heavyweight code relocation. This paper introduces NOProbe, a lightweight, user-space DBI framework that enables safe and efficient probe insertion using two novel strategies. The first strategy locates trampoline sites by leveraging compiler-generated NOP paddings; the second employs pseudo-NOP instructions to support trampoline placement even when instructions overlap. Additionally, we propose a thread-safe patching algorithm,lock-redirect-load-arm, for safe runtime code modification. Experimental results show that NOProbe achieves 97%-99% probe effectiveness, reduces probe insertion latency, and maintains very low per-probe execution overhead, even under high probe density and multithreaded workloads. Ahmad Shahnejat Bushehri, Anas Balboul, Adel Belkhiri, Samira Keivanpour, Gabriela Nicolescu, Michel R. Dagenais |
IEEE Trans. Dependable Secur. Comput. | 2 |