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68 changes: 68 additions & 0 deletions content/event/261021.md
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---
title: "Learning With Fine-Grained Privacy"

event: Weekly Talk
event_url:

location: COM3-02-59
address:
street:
city:
region:
postcode:
country: Singapore

summary:
abstract: "Privacy is a key challenge in modern learning systems that increasingly rely on sensitive data. Differential privacy (DP) provides rigorous protection for individual records, but its guarantees do not always match what is actually sensitive in a learning task. In this talk, I will present a line of work on fine-grained privacy, with guarantees designed around the information that truly needs protection. I will discuss how to strengthen privacy when sensitive information spans multiple records, and how to avoid unnecessary utility loss when only part of the data is sensitive. This perspective leads to new privacy notions and practical learning algorithms with formal guarantees, including privacy-preserving methods for modern LLM alignment."

# Talk start and end times.
# End time can optionally be hidden by prefixing the line with `#`.
date: "2026-10-21T15:00:00Z"
date_end: "2026-10-21T16:00:00Z"
all_day: false

# Schedule page publish date (NOT talk date).
publishDate: "2026-10-05T00:00:00Z"

authors: [Yangfan Jiang]
tags: [Weekly Talk]

# Is this a featured talk? (true/false)
featured: false

image:
caption: 'Image credit: [**Unsplash**](https://unsplash.com/photos/bzdhc5b3Bxs)'
focal_point: Right

url_code: ""
url_pdf: ""
url_slides: ""
url_video: ""

# Markdown Slides (optional).
# Associate this talk with Markdown slides.
# Simply enter your slide deck's filename without extension.
# E.g. `slides = "example-slides"` references `content/slides/example-slides.md`.
# Otherwise, set `slides = ""`.
slides:

# Projects (optional).
# Associate this post with one or more of your projects.
# Simply enter your project's folder or file name without extension.
# E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`.
# Otherwise, set `projects = []`.
projects:

# Slides can be added in a few ways:
#
# - **Create** slides using Wowchemy's [*Slides*](https://wowchemy.com/docs/managing-content/#create-slides) feature and link using `slides` parameter in the front matter of the talk file
# - **Upload** an existing slide deck to `static/` and link using `url_slides` parameter in the front matter of the talk file
# - **Embed** your slides (e.g. Google Slides) or presentation video on this page using [shortcodes](https://wowchemy.com/docs/writing-markdown-latex/).
#
# Further event details, including page elements such as image galleries, can be added to the body of this page.

---

Speaker Info:

[Yangfan Jiang](https://yangfan-jiang.github.io/) is a Ph.D. candidate in Computer Science at the National University of Singapore, advised by [Prof. Xiaokui Xiao](https://www.comp.nus.edu.sg/~xiaoxk/). His research focuses on privacy and security for modern AI over sensitive data, including algorithms that enable large language models and data analytics methods to learn from private data with formal privacy and security guarantees.
2 changes: 1 addition & 1 deletion content/event/_index.md
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Expand Up @@ -27,7 +27,7 @@ Timetable for upcoming events in AY26/27 (subject to changes):
| Nov 11 | | --- | --- |
| Nov 4 | | --- | --- |
| Oct 28 | | --- | --- |
| Oct 21 | | --- | --- |
| Oct 21 | <font color=blue>Learning With Fine-Grained Privacy</font> | Suyang | Yangfan Jiang |
| Oct 14 | <font color=gray>ASE week</font> | --- | --- |
| Oct 7 | <font color=gray>ISSTA week</font> | --- | --- |
| Sep 30 | <font color=blue>Metamorphic Coverage</font> | TEST Lab | Jinsheng |
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