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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,69 +1,4 @@ | ||
| projects: | ||
| pribot: | ||
| name: PriBot | ||
| categories: | ||
| - Privacy | ||
| - Learning | ||
| applications: | ||
| - Info | ||
| description: Automated analysis of privacy policies | ||
| tech_desc: > | ||
| Pribot uses an automated framework for privacy policy analysis (Polisis). It enables scalable, dynamic, and multi-dimensional queries | ||
| on natural language privacy policies. | ||
| code: | ||
| type: Private GitHub | ||
| contacts: | ||
| - name: Rémi Lebret | ||
| email: [email protected] | ||
| tags: | ||
| - Natural Language | ||
| language: Python, JavaScript | ||
| type: Application | ||
| url: https://www.epfl.ch/labs/lsir/pribot/ | ||
| information: | ||
| - type: Paper | ||
| title: "Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning" | ||
| url: https://infoscience.epfl.ch/record/270808 | ||
| notes: | ||
| - label: Published at | ||
| text: USENIX'18 | ||
| url: https://www.usenix.org/conference/usenixsecurity18/presentation/harkous | ||
| license: commercial | ||
| date_added: 2019-03-18 | ||
| date_updated: 2024-02-07 | ||
|
|
||
| privyseal: | ||
| name: PrivySeal | ||
| categories: | ||
| - Privacy | ||
| applications: | ||
| - Info | ||
| description: Privacy assistant for installing third party cloud apps | ||
| tech_desc: > | ||
| When installing third party apps for cloud services such as Google Drive or DropBox, PrivySeal compares the required permissions to | ||
| the ones actually needed, and informs users about the data-driven insights that these apps can make about them (e.g. topics of | ||
| interest, activity patterns, etc.). The goal is to make users aware of these facts and discourage them to install over-privileged | ||
| apps. | ||
| code: | ||
| type: Private GitHub | ||
| contacts: | ||
| - name: Hamza Harkous | ||
| email: [email protected] | ||
| tags: | ||
| - Cloud | ||
| language: JavaScript, Python | ||
| type: Application | ||
| information: | ||
| - type: Paper | ||
| title: "The Curious Case of the PDF Converter that Likes Mozart: Dissecting and Mitigating the Privacy Risk of Personal Cloud Apps" | ||
| url: https://infoscience.epfl.ch/record/218003 | ||
| notes: | ||
| - label: Published at | ||
| text: PETS'16 | ||
| url: https://petsymposium.org/2016 | ||
| date_added: 2019-03-18 | ||
| date_updated: 2022-07-06 | ||
|
|
||
| ai-data-platform-v1: | ||
| name: AI Research Aiding Online Children Safety | ||
| categories: | ||
|
|
@@ -192,6 +127,7 @@ projects: | |
| url: https://www.mediaobservatory.com | ||
| code: | ||
| type: Private GitHub | ||
| url: https://github.com/mediaobservatory | ||
| tags: | ||
| - Natural Language | ||
| type: Application | ||
|
|
@@ -232,3 +168,74 @@ projects: | |
| type: Library | ||
| date_added: 2022-07-06 | ||
| date_updated: 2024-02-12 | ||
|
|
||
| commpass: | ||
| name: CommPass | ||
| description: > | ||
| News article similarity visualization tool | ||
| type: "Application" | ||
| categories: | ||
| - "Learning" | ||
| applications: | ||
| - "Info" | ||
| tags: | ||
| - "Adversarial" | ||
| - "Machine Learning" | ||
| - "Natural Language" | ||
| layman_desc: > | ||
| This tool visualizes how similar or different news articles about the | ||
| same event are from multiple perspectives. It can show if articles | ||
| have a positive or negative stance on the topic. This helps users | ||
| understand if they are caught in a filter bubble and exposes them to | ||
| diverse viewpoints. It also assists journalists in positioning their | ||
| articles among others covering the same story. | ||
| tech_desc: > | ||
| The project aims to visualize semantic similarity and polarity of news | ||
| articles covering a given media event. It extends the NewsTeller | ||
| platform which processes over 1.5 million news articles per month. | ||
| The goal is to provide intuitive visualization tools to explore the | ||
| media landscape and enhance the NewsTeller platform. | ||
| url: https://www.media-initiative.ch/project/commpass/ | ||
| date_added: 2024-03-19 | ||
|
|
||
| # Most common fields: | ||
| upgrade_newsroom: | ||
| name: Upgrading the Newsroom | ||
| description: > | ||
| Automated image selection system for news articles | ||
| type: "Application" | ||
| categories: | ||
| - "Learning" | ||
| applications: | ||
| - "Info" | ||
| tags: | ||
| - "Adversarial" | ||
| - "Machine Learning" | ||
| - "Natural Language" | ||
| layman_desc: > | ||
| It is an automated system that can recommend suitable images to illustrate | ||
| news articles by analyzing the text content of the articles. | ||
| The system can handle inputs in multiple languages like German and French | ||
| by using aligned multilingual word embeddings. | ||
| It uses advanced neural network techniques like attention to identify | ||
| the most relevant parts of the text for retrieving matching images from a | ||
| large database. | ||
| tech_desc: > | ||
| The system fuses multiple textual sources (caption, body, headline, lead) | ||
| from news articles using a hierarchical attention mechanism to retrieve | ||
| relevant images. | ||
| It utilizes subword embeddings and self-attention to better encode | ||
| entities and capture important keywords within texts. | ||
| The model is trained on a large-scale multimodal multilingual dataset of | ||
| over 500k German and French news article-image pairs in a | ||
| weakly-supervised manner. | ||
| url: https://modemos.epfl.ch/article | ||
| contacts: | ||
| - name: Rémi Lebret | ||
| email: [email protected] | ||
| information: | ||
| # One or more of: | ||
| - type: Paper | ||
| title: "Upgrading the Newsroom: An Automated Image Selection System for News Articles" | ||
| url: https://arxiv.org/abs/2004.11449 | ||
| date_added: 2024-03-19 | ||
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