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Patrick Zielinski

dblp:400/4764 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
—ORCID · none

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

Security and privacy · 4 · 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
2 papers
Systems and software security · 86% Privacy and data protection · 14%
Software engineering, system software, and programming languages
1 paper
Software maintenance and evolution · 100%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › data security
document security
1.012026
Enhancing Legal Document Security and Accessibility with TAF · NDSS 2026
Systems and software security
software supply chain security
0.912025
Rethinking Trust in Forge-Based Git Security · NDSS 2025
Software maintenance and evolution
software ecosystems
0.912025
Rethinking Trust in Forge-Based Git Security · NDSS 2025

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

security analysis · 1.7cryptographic techniques · 1.0
YearPublicationVenuePosition
2026 SourceFabric: Consistent and Scalable Security Policies for Git Repositories
Aditya Sirish A Yelgundhalli, Patrick Zielinski, Marcela S. Melara, Dennis Roellke, Reza Curtmola, Justin Cappos
EuroS&P2
2026 Enhancing Legal Document Security and Accessibility with TAF
Renata Vaderna, Dusan Nikolic, Patrick Zielinski, David Greisen, BJ Ard, Justin Cappos
NDSS3
2025 Rethinking Trust in Forge-Based Git Security
Aditya Sirish A Yelgundhalli, Patrick Zielinski, Reza Curtmola, Justin Cappos
NDSS2
2024 Sidecar: Leveraging Debugging Extensions in Commodity Processors to Secure Software
abstract
The increased parallelism in modern processors has sparked interest in offloading security policy enforcement to processes or hardware operating in parallel with the main application. This approach can reduce application latency, enhance security, and improve compatibility. However, existing software solutions often incur high overheads and are susceptible to memory corruption attacks, while hardware solutions tend to be inflexible and require substantial modifications to the processor. In this paper, we present Sidecar, a novel approach that offloads security checks to run concurrently with applications by leveraging the debugging infrastructure available in commodity processors. Specifically, we utilize software-driven logging (SDL) extensions in Intel and Arm processors to create secure, append-only channels between applications and security monitors. We build and evaluate a prototype of Sidecar for the x86-64 and Aarch64 architectures. To demonstrate its utility, we adapt well-known security de-fenses within Sidecar, providing control-flow integrity (CFI), shadow call stacks (SCS), and memory error checking (ASan). Our evaluation shows that these extensions perform better on the Intel architecture. In terms of defenses, Sidecar reduces the latency of CFI in the tested real-world applications by an average of 30%, offers enhanced security with similar overhead for SCS, and is versatile enough to support complex defenses like ASan. Furthermore, our security monitor for CFI+SCS is 30 times more efficient compared to previous work.
Konstantinos Kleftogiorgos, Patrick Zielinski, Jun Xu 0024, Georgios Portokalidis
ACSAC2