---
title: "SP (A*): papers and universities"
description: "SP (IEEE Symposium on Security and Privacy) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 796 of its papers from 2024–2026 (270 in 2024, 264 in 2025, 262 in 2026). By the countries of the authors' institutions, the most papers come from the United States (416), China (190) and Germany (116)."
url: https://scholar4ai.com/proceedings/sp
markdown_url: https://scholar4ai.com/proceedings/sp.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "SP (IEEE Symposium on Security and Privacy) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 796 of its papers from 2024–2026 (270 in 2024, 264 in 2025, 262 in 2026). (as of 2026-11-02)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-02T12:20:52+09:00
window: 2026-10-04 to 2026-11-02
source: OpenAlex (CC0)
---

# SP: IEEE Symposium on Security and Privacy — papers and institutions, 2024–2026

Papers of SP, IEEE Symposium on Security and Privacy (CORE rank A*; field: Cybersecurity and privacy), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02.

All conferences: https://scholar4ai.com/proceedings.md

## Key findings

- SP (IEEE Symposium on Security and Privacy) is rated A* by the CORE Conference Rankings (ICORE2026); OpenAlex lists 796 of its papers from 2024–2026 (270 in 2024, 264 in 2025, 262 in 2026).
- By the countries of the authors' institutions, the most papers come from the United States (416), China (190) and Germany (116).
- The institutions with the most papers are Helmholtz Center for Information Security (47), Tsinghua University (37) and Purdue University West Lafayette (35).
- Its most-cited paper of these years is “Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance” (2024), with 147 citations.

## Papers per year

*SP papers per publication year in OpenAlex (–: not in OpenAlex yet)*

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 270 | 258 |
| 2025 | 264 | 251 |
| 2026 | 262 | 254 |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4210233669](https://openalex.org/S4210233669) | The conference's proceedings |

## Who publishes there

*Institutions with the most SP papers, 2024–2026*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Helmholtz Center for Information Security | 47 |
| 2 | [Tsinghua University](https://scholar4ai.com/institutions/tsinghua-university.md) | 37 |
| 3 | Purdue University West Lafayette | 35 |
| 4 | [Zhejiang University](https://scholar4ai.com/institutions/zhejiang-university.md) | 31 |
| 5 | ETH Zurich | 27 |
| 6 | Georgia Institute of Technology | 23 |
| 7 | University of Illinois Urbana-Champaign | 23 |
| 8 | Carnegie Mellon University | 21 |
| 9 | University of California, Berkeley | 21 |
| 10 | Ruhr University Bochum | 19 |

*Countries with the most SP papers, 2024–2026*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 416 |
| 2 | China | 190 |
| 3 | Germany | 116 |
| 4 | Hong Kong | 53 |
| 5 | United Kingdom | 47 |
| 6 | Switzerland | 46 |
| 7 | Singapore | 39 |
| 8 | Australia | 38 |
| 9 | Canada | 31 |
| 10 | South Korea | 24 |

*Keywords with the most SP papers, 2024–2026*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 52 |
| 2 | side-channel attacks | 44 |
| 3 | vulnerability detection | 29 |
| 4 | differential privacy | 27 |
| 5 | trusted execution environments | 23 |
| 6 | zero-knowledge proofs | 22 |
| 7 | secure multi-party computation | 21 |
| 8 | privacy-utility trade-off | 17 |
| 9 | adversarial attacks | 16 |
| 10 | adversarial robustness | 15 |

## Most-cited papers

*Most-cited SP papers of 2024–2026 (citations counted by OpenAlex)*

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 147 | [Kairos: Practical Intrusion Detection and Investigation using Whole-system Provenance](https://doi.org/10.1109/sp54263.2024.00005) | 2024-05-19 | Zijun Cheng, Qiujian Lv, Jinyuan Liang et al. |
| 2 | 139 | [Poisoning Web-Scale Training Datasets is Practical](https://doi.org/10.1109/sp54263.2024.00179) | 2024-05-19 | Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo et al. |
| 3 | 134 | [LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks](https://doi.org/10.1109/sp54263.2024.00210) | 2024-05-19 | Saad Ullah, Mingji Han, Saurabh Pujar et al. |
| 4 | 129 | [Flash: A Comprehensive Approach to Intrusion Detection via Provenance Graph Representation Learning](https://doi.org/10.1109/sp54263.2024.00139) | 2024-05-19 | Mati Ur Rehman, Hadi Ahmadi, Wajih Ul Hassan |
| 5 | 98 | [TrafficFormer: An Efficient Pre-trained Model for Traffic Data](https://doi.org/10.1109/sp61157.2025.00102) | 2025-05-12 | Guangmeng Zhou, Xiongwen Guo, Zhuotao Liu et al. |
| 6 | 97 | [Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models](https://doi.org/10.1109/sp54263.2024.00207) | 2024-05-19 | Shawn Shan, Wenxin Ding, Josephine Passananti et al. |
| 7 | 83 | [SoK: Security and Privacy of Blockchain Interoperability](https://doi.org/10.1109/sp54263.2024.00255) | 2024-05-19 | André Augusto, Rafael Belchior, Miguel Pupo Correia et al. |
| 8 | 80 | [BOLT: Privacy-Preserving, Accurate and Efficient Inference for Transformers](https://doi.org/10.1109/sp54263.2024.00130) | 2024-05-19 | Qi Pang, Jinhao Zhu, Helen Möllering et al. |
| 9 | 74 | [Bounded and Unbiased Composite Differential Privacy](https://doi.org/10.1109/sp54263.2024.00108) | 2024-05-19 | Kai Zhang, Yanjun Zhang, Ruoxi Sun et al. |
| 10 | 71 | [SneakyPrompt: Jailbreaking Text-to-image Generative Models](https://doi.org/10.1109/sp54263.2024.00123) | 2024-05-19 | Yuchen Yang, Bo Hui, Haolin Yuan et al. |

## Cite this page

Scholar4AI. (2026). SP: IEEE Symposium on Security and Privacy — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/sp

```bibtex
@misc{scholar4ai-proceedings-sp,
  author = {{Scholar4AI}},
  title = {SP: IEEE Symposium on Security and Privacy — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/sp}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).