Add ACSAC 2026 accepted paper, paper page, and artifact links to docs…

README.md

@@ -13,7 +13,7 @@
 
 Automatically discover malware families and generate high-quality, tightly scoped YARA rules using probabilistic clustering and Bloom-filtered n-gram analysis.
 
-[**Documentation**](https://botacin-s-lab.github.io/AutoPYaraPyPI/) · [PyPI](https://pypi.org/project/autopyara/) · [Report a Bug](https://github.com/Botacin-s-Lab/AutoPYaraPyPI/issues) · [Changelog](CHANGELOG.md) · [Releasing](RELEASING.md)
+[**Documentation**](https://botacin-s-lab.github.io/AutoPYaraPyPI/) · [Paper](docs/paper/AutoPYara_ACSAC2026.pdf) · [PyPI](https://pypi.org/project/autopyara/) · [Report a Bug](https://github.com/Botacin-s-Lab/AutoPYaraPyPI/issues) · [Changelog](CHANGELOG.md) · [Releasing](RELEASING.md)
 
 </div>
 
@@ -207,7 +207,7 @@ tool.train(
 
 ## 📖 Documentation
 
-Full documentation lives at **[botacin-s-lab.github.io/AutoPYaraPyPI](https://botacin-s-lab.github.io/AutoPYaraPyPI/)**. It's intentionally basic for now — installation, quick start, and the API reference — with more material (including the accompanying paper, once published) landing there over time.
+Full documentation lives at **[botacin-s-lab.github.io/AutoPYaraPyPI](https://botacin-s-lab.github.io/AutoPYaraPyPI/)** — installation, quick start, the API reference, and the [ACSAC 2026 paper page](https://botacin-s-lab.github.io/AutoPYaraPyPI/paper/).
 
 ## 🧪 Development
 
@@ -226,22 +226,33 @@ We're accepting contributions — if you run into an issue or have a fix, fork t
 
 ## 📄 Citation
 
-If you use AutoPYara in academic work, please cite:
+**AutoPYara has been accepted at ACSAC 2026.** [Read the paper (PDF)](docs/paper/AutoPYara_ACSAC2026.pdf). If you use AutoPYara in academic work, please cite:
 
 > Mabon Ninan\*, Nhat Minh Nguyen\*, Soumyajyoti Dutta, Sidharth Anil, and Marcus Botacin.
-> **"AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering."** *Annual Computer Security Applications Conference (ACSAC 2026)*, to appear.
+> **"AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering."** *Annual Computer Security Applications Conference (ACSAC)*, 2026.
 > \*Equal contribution. Texas A&M University — {ninanmm, nmnguy29, soumyajyoti1998, sid.anil, botacin}@tamu.edu
 
 ```bibtex
 @inproceedings{autopyara2026,
   title     = {AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering},
   author    = {Ninan, Mabon and Nguyen, Nhat Minh and Dutta, Soumyajyoti and Anil, Sidharth and Botacin, Marcus},
-  booktitle = {Proceedings of the Annual Computer Security Applications Conference (ACSAC)},
-  year      = {2026},
-  note      = {To appear}
+  booktitle = {Annual Computer Security Applications Conference (ACSAC)},
+  year      = {2026}
 }
 ```
 
+### Artifacts and resources
+
+| Resource | Link |
+|---|---|
+| ACSAC permanent artifact (Zenodo) | https://zenodo.org/records/23107801 |
+| ACSAC artifact source (GitHub) | https://github.com/Botacin-s-Lab/AutoPYara/ |
+| API documentation (GitHub Pages) | https://botacin-s-lab.github.io/AutoPYaraPyPI/ |
+| PyPI source repository (GitHub) | https://github.com/Botacin-s-Lab/AutoPYaraPyPI |
+| Java backend engine (GitHub) | https://github.com/Botacin-s-Lab/AutoPYaraBackend |
+| YARA rules & benchmark data (Zenodo) | https://zenodo.org/records/22665898 |
+| Python package, `pip install autopyara` (PyPI) | https://pypi.org/project/autopyara/ |
+
 The `AutoYara` preset builds on the original [AutoYara](https://github.com/FutureComputing4AI/AutoYara) project (Apache 2.0); if you use it, please also cite:
 
 > Edward Raff, Richard Zak, Gary Lopez Munoz, William Fleming, Hyrum S. Anderson, Bobby Filar, Charles Nicholas, and James Holt.

docs/architecture.md

@@ -194,4 +194,4 @@ This project was also the subject of a related thesis:
 
 > Nhat Minh Nguyen. **"AutoPYara: A Python/Java Framework for Automatic YARA Rule Generation Using Semi-Supervised Clustering."** M.S. Thesis, Texas A&M University, Spring 2025.
 
-See the [homepage's Citation section](index.md#citation) for how to cite the AutoPYara paper itself.
+See the [Paper & Resources](paper.md) page for the ACSAC 2026 paper and how to cite it.

docs/index.md

@@ -28,8 +28,8 @@ AutoPYara is a Python framework for automated YARA rule generation from collecti
 
 The result: cluster-aware, precision-engineered YARA signatures with minimal manual effort.
 
-!!! info "This site is a work in progress"
-    This documentation is intentionally basic for now — installation, a quick start, and the full API reference. More material (including the accompanying paper, once published) will land here over time.
+!!! success "Accepted at ACSAC 2026"
+    The AutoPYara paper will appear at the *Annual Computer Security Applications Conference (ACSAC), 2026*. [Read the paper →](paper.md)
 
 AutoPYara is [live on PyPI](https://pypi.org/project/autopyara/) — `pip install autopyara` to get started.
 
@@ -81,32 +81,37 @@ Train your own Bloom filters on proprietary datasets.
 - [Quick Start](quickstart.md) — generate your first YARA rule.
 - [API Reference](api.md) — presets, advanced usage, and the full `generate()` parameter table.
 - [Architecture](architecture.md) — how the Python frontend and the separate Java backend fit together.
+- [Paper & Resources](paper.md) — the ACSAC 2026 paper (PDF), abstract, citation, and artifacts.
 - [Development & Releasing](development.md) — running the tests and how releases are published.
 
 ## Project links
 
 | | |
 |---|---|
-| :fontawesome-brands-python: **PyPI** | [pypi.org/project/autopyara](https://pypi.org/project/autopyara/) |
-| :fontawesome-brands-github: **Python frontend** | [Botacin-s-Lab/AutoPYaraPyPI](https://github.com/Botacin-s-Lab/AutoPYaraPyPI) |
-| :fontawesome-brands-java: **Java backend** | [Botacin-s-Lab/AutoPYaraBackend](https://github.com/Botacin-s-Lab/AutoPYaraBackend) — separate repository, builds the embedded `AutoYara.jar` |
+| :material-archive: **ACSAC permanent artifact** | [Zenodo — zenodo.org/records/23107801](https://zenodo.org/records/23107801) |
+| :fontawesome-brands-github: **ACSAC artifact source** | [GitHub — Botacin-s-Lab/AutoPYara](https://github.com/Botacin-s-Lab/AutoPYara/) |
+| :material-book-open-variant: **API documentation** | [GitHub Pages — botacin-s-lab.github.io/AutoPYaraPyPI](https://botacin-s-lab.github.io/AutoPYaraPyPI/) |
+| :fontawesome-brands-github: **PyPI source repository** | [GitHub — Botacin-s-Lab/AutoPYaraPyPI](https://github.com/Botacin-s-Lab/AutoPYaraPyPI) |
+| :fontawesome-brands-java: **Java backend engine** | [GitHub — Botacin-s-Lab/AutoPYaraBackend](https://github.com/Botacin-s-Lab/AutoPYaraBackend) |
+| :material-database: **YARA rules & benchmark data** | [Zenodo — zenodo.org/records/22665898](https://zenodo.org/records/22665898) |
+| :fontawesome-brands-python: **Python package** (`pip install autopyara`) | [PyPI — pypi.org/project/autopyara](https://pypi.org/project/autopyara/) |
+| :material-file-pdf-box: **Paper (PDF)** | [AutoPYara_ACSAC2026.pdf](paper/AutoPYara_ACSAC2026.pdf) |
 | :material-bug: **Issues** | [Report a bug](https://github.com/Botacin-s-Lab/AutoPYaraPyPI/issues) |
 
 ## Citation
 
-If you use AutoPYara in academic work, please cite:
+If you use AutoPYara in academic work, please cite the ACSAC 2026 paper ([PDF](paper/AutoPYara_ACSAC2026.pdf)). Recommended citation:
 
 > Mabon Ninan\*, Nhat Minh Nguyen\*, Soumyajyoti Dutta, Sidharth Anil, and Marcus Botacin.
-> **"AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering."** *Annual Computer Security Applications Conference (ACSAC 2026)*, to appear.
+> **"AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering."** *Annual Computer Security Applications Conference (ACSAC)*, 2026.
 > \*Equal contribution. Texas A&M University — {ninanmm, nmnguy29, soumyajyoti1998, sid.anil, botacin}@tamu.edu
 
 ```bibtex
 @inproceedings{autopyara2026,
   title     = {AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering},
   author    = {Ninan, Mabon and Nguyen, Nhat Minh and Dutta, Soumyajyoti and Anil, Sidharth and Botacin, Marcus},
-  booktitle = {Proceedings of the Annual Computer Security Applications Conference (ACSAC)},
-  year      = {2026},
-  note      = {To appear}
+  booktitle = {Annual Computer Security Applications Conference (ACSAC)},
+  year      = {2026}
 }
 ```
 

docs/paper.md

@@ -0,0 +1,44 @@
+---
+title: Paper & Resources — AutoPYara
+---
+
+# Paper & Resources
+
+!!! success "Accepted at ACSAC 2026"
+    **AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering** will appear at the *Annual Computer Security Applications Conference (ACSAC), 2026*.
+
+[Download the paper (PDF) :material-file-pdf-box:](paper/AutoPYara_ACSAC2026.pdf){ .md-button .md-button--primary }
+[ACSAC artifact (Zenodo) :material-archive:](https://zenodo.org/records/23107801){ .md-button }
+
+Mabon Ninan\*, Nhat Minh Nguyen\*, Soumyajyoti Dutta, Sidharth Anil, and Marcus Botacin — Texas A&M University. \*Equal contribution.
+
+## Abstract
+
+Millions of malware variants threaten users daily, such that clustering these samples is key for fast incident response. AutoYara is the current state-of-the-art for automatic YARA rule generation, but the task remains challenging on realistic datasets, where intra-family diversity and noisy clustering can degrade rule quality. We present AutoPYara, a solution armored with: (1) precise cluster centroid selection based on similarity hashing, and (2) an improved heuristic for estimating subclusters within a malware family using historical VirusTotal data. We implement AutoPYara as an open-source Python package, `pip install autopyara`, to support reproducibility and practical use. We show that AutoPYara, (1) increases rule coverage by 14 percentage points; (2) reduces variance by 7.1 percentage points, comparing the average variance AutoPYara exhibits to that of AutoYara; and (3) improves threat-hunting accuracy by 10%. AutoPYara produces robust and effective YARA rules than prior automatic approaches in practical settings.
+
+## Citation
+
+Recommended citation:
+
+> M. Ninan, N. M. Nguyen, S. Dutta, S. Anil, and M. Botacin, "AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering," *Annual Computer Security Applications Conference (ACSAC)*, 2026.
+
+```bibtex
+@inproceedings{autopyara2026,
+  title     = {AutoPYara: Next-Gen YARA Rule Generator for Malware Family Clustering},
+  author    = {Ninan, Mabon and Nguyen, Nhat Minh and Dutta, Soumyajyoti and Anil, Sidharth and Botacin, Marcus},
+  booktitle = {Annual Computer Security Applications Conference (ACSAC)},
+  year      = {2026}
+}
+```
+
+## Artifacts and resources
+
+| Resource | Host | Link |
+|---|---|---|
+| :material-archive: **ACSAC permanent artifact** | Zenodo | [zenodo.org/records/23107801](https://zenodo.org/records/23107801) |
+| :fontawesome-brands-github: **ACSAC artifact source** | GitHub | [Botacin-s-Lab/AutoPYara](https://github.com/Botacin-s-Lab/AutoPYara/) |
+| :material-book-open-variant: **API documentation** | GitHub Pages | [botacin-s-lab.github.io/AutoPYaraPyPI](https://botacin-s-lab.github.io/AutoPYaraPyPI/) |
+| :fontawesome-brands-github: **PyPI source repository** | GitHub | [Botacin-s-Lab/AutoPYaraPyPI](https://github.com/Botacin-s-Lab/AutoPYaraPyPI) |
+| :fontawesome-brands-java: **Java backend engine** | GitHub | [Botacin-s-Lab/AutoPYaraBackend](https://github.com/Botacin-s-Lab/AutoPYaraBackend) |
+| :material-database: **YARA rules & benchmark data** | Zenodo | [zenodo.org/records/22665898](https://zenodo.org/records/22665898) |
+| :fontawesome-brands-python: **Python package** (`pip install autopyara`) | PyPI | [pypi.org/project/autopyara](https://pypi.org/project/autopyara/) |

mkdocs.yml

@@ -13,6 +13,7 @@ nav:
   - Quick Start: quickstart.md
   - API Reference: api.md
   - Architecture: architecture.md
+  - Paper: paper.md
   - Development & Releasing: development.md
 
 theme:
@@ -83,3 +84,7 @@ extra:
       link: https://github.com/Botacin-s-Lab/AutoPYaraPyPI
     - icon: fontawesome/brands/python
       link: https://pypi.org/project/autopyara/
+    - icon: material/file-document
+      link: https://botacin-s-lab.github.io/AutoPYaraPyPI/paper/
+    - icon: material/archive
+      link: https://zenodo.org/records/23107801