Demo Data from SIGIR 2026 / reviewers in the wild / expert
Philipp Görz
dblp:280/7837
· DBLP profile ↗
5ranked-venue papers
1as first author
4since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 5 · 1 first-author · 4 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
3 papers |
Systems and software security · 61% Web and mobile security · 39% | |
| Software engineering, system software, and programming languages
3 papers |
Software testing · 90% Program analysis · 10% |
Topics — the 10 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and mobile security › web application vulnerability
business logic vulnerability |
1.0 | 1 | 2026 | Anota: Identifying Business Logic Vulnerabilities via Annotation-Based Sanitization · NDSS 2026 |
Systems and software security
program analysis |
1.0 | 1 | 2026 | Anota: Identifying Business Logic Vulnerabilities via Annotation-Based Sanitization · NDSS 2026 |
Systems and software security
vulnerability discovery |
1.0 | 1 | 2026 | Anota: Identifying Business Logic Vulnerabilities via Annotation-Based Sanitization · NDSS 2026 |
Software testing
fuzzing |
0.9 | 2 | 2024 | Systematic Assessment of Fuzzers using Mutation Analysis · USENIX Security Symposium 2023 Atropos: Effective Fuzzing of Web Applications for Server-Side Vulnerabilities · USENIX Security Symposium 2024 |
Systems and software security
memory safety |
0.8 | 1 | 2024 | A Binary-level Thread Sanitizer or Why Sanitizing on the Binary Level is Hard · USENIX Security Symposium 2024 |
Web and mobile security
web security |
0.8 | 1 | 2024 | Atropos: Effective Fuzzing of Web Applications for Server-Side Vulnerabilities · USENIX Security Symposium 2024 |
Software testing › fuzzing
fuzzer benchmarking |
0.7 | 1 | 2023 | Systematic Assessment of Fuzzers using Mutation Analysis · USENIX Security Symposium 2023 |
Program analysis
dynamic analysis |
0.2 | 1 | 2024 | A Binary-level Thread Sanitizer or Why Sanitizing on the Binary Level is Hard · USENIX Security Symposium 2024 |
Software testing › fuzzing
web application fuzzing |
0.2 | 1 | 2024 | Atropos: Effective Fuzzing of Web Applications for Server-Side Vulnerabilities · USENIX Security Symposium 2024 |
Software testing
mutation testing |
0.2 | 1 | 2023 | Systematic Assessment of Fuzzers using Mutation Analysis · USENIX Security Symposium 2023 |
Methods — techniques the papers use, named apart from their topics
thread sanitization · 1.5binary instrumentation · 1.5static analysis · 1.0annotation-based analysis · 1.0mutation analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Anota: Identifying Business Logic Vulnerabilities via Annotation-Based Sanitization
Meng Wang 0071, Philipp Görz, Joschua Schilling, Keno Hassler, Thorsten Holz, Ali Abbasi 0002 |
NDSS | 2 |
| 2024 | Atropos: Effective Fuzzing of Web Applications for Server-Side Vulnerabilities
Emre Güler, Sergej Schumilo, Moritz Schloegel, Nils Bars, Philipp Görz, Cemal Kaygusuz, Thorsten Holz |
USENIX Security Symposium | 5 |
| 2024 | A Binary-level Thread Sanitizer or Why Sanitizing on the Binary Level is Hard
Joschua Schilling, Andreas Wendler, Philipp Görz, Nils Bars, Moritz Schloegel, Thorsten Holz |
USENIX Security Symposium | 3 |
| 2023 | Systematic Assessment of Fuzzers using Mutation Analysis
Philipp Görz, Björn Mathis, Keno Hassler, Emre Güler, Thorsten Holz, Andreas Zeller, Rahul Gopinath |
USENIX Security Symposium | 1 |
| 2020 | Cupid : Automatic Fuzzer Selection for Collaborative FuzzingabstractCombining the strengths of individual fuzzing methods is an appealing idea to find software faults more efficiently, especially when the computing budget is limited. In prior work, EnFuzz introduced the idea of ensemble fuzzing and devised three heuristics to classify properties of fuzzers in terms of diversity. Based on these heuristics, the authors manually picked a combination of different fuzzers that collaborate. Emre Güler, Philipp Görz, Elia Geretto, Andrea Jemmett, Sebastian Österlund, Herbert Bos, Cristiano Giuffrida, Thorsten Holz |
ACSAC | 2 |