---
title: "ACSAC (A): papers and universities"
description: "ACSAC (Annual Computer Security Applications Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 202 of its papers from 2024–2026 (101 in 2024, 101 in 2025; 2026 not in OpenAlex yet). By the countries of the authors' institutions, the most papers come from the United States (75), China (34) and Germany (23)."
url: https://scholar4ai.com/proceedings/acsac
markdown_url: https://scholar4ai.com/proceedings/acsac.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "ACSAC (Annual Computer Security Applications Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 202 of its papers from 2024–2026 (101 in 2024, 101 in 2025; 2026 not in OpenAlex yet). (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)
---

# ACSAC: Annual Computer Security Applications Conference — papers and institutions, 2024–2026

Papers of ACSAC, Annual Computer Security Applications Conference (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

- ACSAC (Annual Computer Security Applications Conference) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 202 of its papers from 2024–2026 (101 in 2024, 101 in 2025; 2026 not in OpenAlex yet).
- By the countries of the authors' institutions, the most papers come from the United States (75), China (34) and Germany (23).
- The institutions with the most papers are Chinese Academy of Sciences (8), Virginia Tech (8) and Institute of Information Engineering (7).
- Its most-cited paper of these years is “SECURE: Benchmarking Large Language Models for Cybersecurity” (2024), with 24 citations.
- OpenAlex has affiliations for only 82% of its papers, so the institution and country counts are incomplete.

## Papers per year

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

| Year | Papers | With affiliations |
|---|---:|---:|
| 2024 | 101 | 83 |
| 2025 | 101 | 83 |
| 2026 | – | – |

## Sources

*Where OpenAlex lists the papers*

| OpenAlex source | Which papers |
|---|---|
| [S4306417673](https://openalex.org/S4306417673) | The conference's proceedings |

## Who publishes there

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

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 8 |
| 2 | Virginia Tech | 8 |
| 3 | Institute of Information Engineering | 7 |
| 4 | University of Utah | 6 |
| 5 | University of Kansas | 5 |
| 6 | Singapore University of Technology and Design | 5 |
| 7 | University of Florida | 5 |
| 8 | Helmholtz Center for Information Security | 5 |
| 9 | Commonwealth Scientific and Industrial Research Organisation | 4 |
| 10 | Rochester Institute of Technology | 4 |

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

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 75 |
| 2 | China | 34 |
| 3 | Germany | 23 |
| 4 | South Korea | 12 |
| 5 | Australia | 8 |
| 6 | United Kingdom | 7 |
| 7 | Singapore | 7 |
| 8 | Spain | 5 |
| 9 | Belgium | 4 |
| 10 | Switzerland | 4 |

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

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 12 |
| 2 | trusted execution environments | 9 |
| 3 | privacy-preserving machine learning | 7 |
| 4 | backdoor attacks | 5 |
| 5 | differential privacy | 5 |
| 6 | hardware security | 5 |
| 7 | Internet of Things security | 4 |
| 8 | Linux kernel | 4 |
| 9 | adversarial attacks | 4 |
| 10 | adversarial robustness | 4 |

## Most-cited papers

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

| # | Citations | Title | Published | Authors |
|---:|---:|---|---|---|
| 1 | 24 | [SECURE: Benchmarking Large Language Models for Cybersecurity](https://doi.org/10.1109/acsac63791.2024.00019) | 2024-12-09 | Dipkamal Bhusal, Tanvirul Alam, Le Nguyen et al. |
| 2 | 11 | [ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer](https://doi.org/10.1109/acsac63791.2024.00100) | 2024-12-09 | Shihua Sun, Kenechukwu Nwodo, Shridatt Sugrim et al. |
| 3 | 11 | [Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning](https://doi.org/10.1109/acsac63791.2024.00069) | 2024-12-09 | Rouzbeh Behnia, Arman Riasi, Reza Ebrahimi et al. |
| 4 | 11 | [TATTOOED: A Robust Deep Neural Network Watermarking Scheme based on Spread-Spectrum Channel Coding](https://doi.org/10.1109/acsac63791.2024.00099) | 2024-12-09 | Giulio Pagnotta, Dorjan Hitaj, Briland Hitaj et al. |
| 5 | 10 | [Rust for Linux: Understanding the Security Impact of Rust in the Linux Kernel](https://doi.org/10.1109/acsac63791.2024.00054) | 2024-12-09 | Zhaofeng Li, Vikram Narayanan, Xiangdong Chen et al. |
| 6 | 7 | [A Cloudy View on Trust Relationships of CVMs: How Confidential Virtual Machines are Falling Short in Public Cloud](https://doi.org/10.1109/acsac67867.2025.00046) | 2025-12-08 | Jana Eisoldt, Anna Galanou, Andrey Ruzhanskiy et al. |
| 7 | 7 | [Model-Manipulation Attacks Against Black-Box Explanations](https://doi.org/10.1109/acsac63791.2024.00081) | 2024-12-09 | Achyut Hegde, Maximilian Noppel, Christian Wressnegger |
| 8 | 6 | [WAFFLED: Exploiting Parsing Discrepancies to Bypass Web Application Firewalls](https://doi.org/10.1109/acsac67867.2025.00062) | 2025-12-08 | Seyed Ali Akhavani, Bahruz Jabiyev, Ben Kallus et al. |
| 9 | 6 | [TRACES: TEE-based Runtime Auditing for Commodity Embedded Systems](https://doi.org/10.1109/acsac63791.2024.00035) | 2024-12-09 | Adam Caulfield, Antonio Joia Neto, Norrathep Rattanavipanon et al. |
| 10 | 6 | [BlueScream: Screaming Channels on Bluetooth Low Energy](https://doi.org/10.1109/acsac63791.2024.00060) | 2024-12-09 | Pierre Ayoub, Romain Cayre, Aurélien Francillon et al. |

## Cite this page

Scholar4AI. (2026). ACSAC: Annual Computer Security Applications Conference — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/acsac

```bibtex
@misc{scholar4ai-proceedings-acsac,
  author = {{Scholar4AI}},
  title = {ACSAC: Annual Computer Security Applications Conference — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/acsac}},
  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/).