add new projects to showcase

data/C4DT/projects.yaml

@@ -36,6 +36,26 @@ projects:
     date_added: 2024-01-09
     date_updated: 2024-01-09
 
+  eid-innosuisse:
+    name: E-ID Innosuisse
+    categories:
+      - Security
+      - Privacy
+    applications:
+      - Gov
+    type: Library
+    description: >
+      This Innosuisse project focuses on researching cryptographic algorithms to fit the given requirements of a
+      privacy-preserving, unlinkable E-ID system.
+    tags:
+      - Access Control
+      - Development
+    incubator:
+      type: incubated
+      work: 2023/Q3-2024/Q2 Testing and implementing the demonstrator
+    date_added: 2025-10-15
+    date_updated: 2025-10-15
+
   eid-hands-on:
     name: E-ID Hands-on Workshop
     categories:
@@ -124,3 +144,25 @@ projects:
         title: Report 2024 matrix.epfl.ch
     date_added: 2025-03-04
     date_updated: 2025-03-04
+
+  showcasev2:
+    name: Showcase v2.0
+    categories:
+      - Other
+    applications:
+      - Other
+    type: Application
+    description: Version 2.0 of the C4DT's showcase.
+    code:
+      type: Lab GitHub
+      url: https://github.com/c4dt/showcase_v2
+      date_last_commit: 2025-10-13
+    tags:
+      - "Development"
+    language: TypeScript
+    incubator:
+      type: incubated
+      work: Q4 2024/2025 Developing and implementing
+    maturity: 1
+    date_added: 2025-10-17
+    date_updated: 2025-10-17

data/DCL/projects.yaml

@@ -644,3 +644,41 @@ projects:
             url: https://dl.acm.org/doi/proceedings/10.1145/3575693
     date_added: 2023-03-13
     date_updated: 2024-03-22
+
+  anyway:
+    name: Anyway
+    categories:
+      - Privacy
+    applications:
+      - Infra
+    description: On-premise robust distributed AI inference
+    layman_desc: >
+      Anyway coordinates and combines heterogeneous machines into
+      an on-premise cluster for robust distributed AI inference using
+      open source models of any size. It handles deployment, monitoring,
+      and scaling of the AI engine, and provides a fully compatible
+      OpenAI-style API endpoint. This allows users to safely use the
+      full power of AI on-premises on their most sensitive data.
+    license: commercial
+    tags:
+      - Network
+      - Deep Neural Networks
+      - Decentralized
+    type: Framework
+    information:
+      - type: Website
+        url: https://www.anyway.dev/
+        title: "Anyway"
+    url: https://www.anyway.dev/
+    incubator:
+      type: incubated
+      work: >
+        Started in Spring 2025 with development support, hands-on workshop
+        in Fall 2025.
+      products:
+        - type: hands-on
+          title: Distributed LLM Hands-on Workshop
+          url: https://c4dt.epfl.ch/domains/factory/anyway-distributed-llm-hands-on-workshop/
+    language: C
+    date_added: 2025-05-01
+    date_updated: 2025-10-01

data/DEDIS/projects.yaml

@@ -618,3 +618,28 @@ projects:
     maturity: 1
     date_added: 2023-09-01
     date_updated: 2024-11-21
+
+  d-voting-master-research-project-25:
+    name: "Master research project spring semester 2025: integrating permission management on the DELA blockchain"
+    categories:
+      - "Blockchain"
+    applications:
+      - "Gov"
+    type: Application
+    description: >
+      D-Voting is EPFL’s e-voting platform based on the DELA blockchain. The project started in 2021 and has been
+      continuously developed by EPFL students and research software engineers. To improve D-Voting’s robustness,
+      the permission management is currently being overhauled.
+    incubator:
+      type: retired_archived
+      work: 2025/Q2 - Master research project supervision
+    code:
+      type: Lab GitHub
+      url: https://github.com/c4dt/d-voting/tree/student25spring_access_control
+      date_last_commit: 2025-07-04
+    tags:
+      - Anonymity
+      - Byzantine Resilience
+      - Decentralized
+    date_added: 2025-10-15
+    date_updated: 2025-10-15

views/products/presentation/anyway.tpl

@@ -0,0 +1,36 @@
+<p>
+  Today Large Language Models (LLM) and other big Machine Learning (ML) models
+  take the upfront of the stage.
+  These models can now be trained for specific, customized solutions.
+  But running these models, doing inference on a new dataset, still requires
+  access to a big datacenter.
+</p>
+<p>
+  What if a company or an organization doesn't have access to a datacenter, or
+  if the input data is too confidential?
+  We propose to run the inference on on-premise servers.
+  This keeps data secure.
+</p>
+<h3>Our Solution</h3>
+<p>
+  We fully automate and optimize the distributed deployment of ML models for
+  training and inference, dynamically leveraging on-premise servers.
+  Our high-performance, secure solution is ideal for companies seeking local ML
+  usage with sovereignty and scalability.
+</p>
+The Unique Selling Points of our solution are:
+<ul>
+  <li>
+    Simplicity – Clients can focus on their business applications while our
+    solution transparently handles distributed deployment.
+  </li>
+  <li>
+    Efficiency – Clients can utilize existing machines, maximizing available
+    computing power—even across heterogeneous hardware.
+  </li>
+  <li>Scalability – Large models can be run locally</li>
+  <li>
+    Privacy – Our solution enables organizations to leverage AI’s power locally
+    without relying on untrusted providers.
+  </li>
+</ul>

views/products/presentation/d-voting-master-research-project-25.tpl

@@ -0,0 +1,19 @@
+<p>
+  D-Voting is EPFL’s e-voting platform based on the DELA blockchain.
+  The project started in 2021 and has been continuously developed by EPFL
+  students and research software engineers.
+  To improve D-Voting’s robustness, the permission management is currently being
+  overhauled.
+  In a first step, it has been moved from a dedicated component to the
+  blockchain itself, requiring adjustments to the underlying logic of the
+  permission handling.
+</p>
+<p>
+  The project verified and integrated the functionality of the newly implemented
+  permission system.
+  This involved extending existing system tests; debugging issues with the
+  blockchain component responsible for handling permissions; and integrating
+  this new API in the front-end interface.
+  A user study to explore the integration of OIDC-based authentication into
+  D-Voting rounded off the project.
+</p>

views/products/presentation/dvoting.tpl

@@ -0,0 +1,23 @@
+<p>
+  The D-Voting project allows for electronic voting without a central point of
+  trust.
+  It relies instead on the majority of servers to be honest during the voting
+  process.
+  The ballots are encrypted during the voting phase, and then shuffled to
+  anonymise the results.
+  When they are finally decrypted, it is not possible anymore to retrace who
+  voted for what.
+</p>
+<p>
+  In Summer 2024, the D-Voting system was used for the first time on a bigger
+  scale to elect the members of the EPFL school assembly.
+  A little bit over 1000 voters used the system to elect the members, and after
+  the resolution of a bug discovered during the on-going voting process, the
+  elections could be successfully concluded.
+  Since then the system has been used multiple times for smaller elections or
+  to poll the EPFL community on administrative questions.
+</p>
+<p>
+  In 2025, the system was used successfully in the election of the school
+  assembly.
+</p>

views/products/presentation/eid-innosuisse.tpl

@@ -0,0 +1,51 @@
+<p>
+  Today's identity security faces challenges like misuse and tracking.
+  Our goal is to enable secure, anonymous, unlinkable E-ID interactions by
+  researching novel cryptographic algorithms.
+  This boosts user trust, creates new business opportunities, and cuts
+  financial losses after data breaches.
+</p>
+<h3>Executive Summary</h3>
+<p>
+  In today's digital landscape, securing and preserving the privacy of
+  electronic identities is a significant challenge.
+  Identity misuse, data collection, and profiling are widespread concerns
+  impacting individuals, organizations, and governments.
+  The Swiss government decided to roll out its E-ID system in two stages,
+  the second stage needs to fulfill even more stringent privacy-preserving
+  features.
+</p>
+<p>
+  Our solution addresses this second stage by leveraging cutting-edge
+  privacy-preserving technologies, such as unlinkable signatures, Zero-Knowledge
+  Proofs, and cryptographic accumulators.
+  This enables fast, succinct, anonymous, and unlinkable interactions, to
+  enhance trust in E-IDs.
+  This innovative approach has immense potential, applicable not only in
+  Switzerland but also in the EU and beyond, standardizing digital IDs and
+  reducing fragmentation.
+</p>
+<h3>Work Packages</h3>
+<p>
+  This Innosuisse project focuses on researching cryptographic algorithms to fit
+  the given requirements of a privacy-preserving, unlinkable E-ID system.
+  Most of the research will be spent on modifying existing algorithms so they
+  fit together: device binding using an ECDSA signature, keeping the proofs
+  unlinkable between verifiers, allowing for generic predicates, and proving the
+  credential has not been revoked yet.
+  The main challenge here is to do this in a reasonable amount of time and
+  space, without using third parties which would remove the privacy guarantees
+  given by a Self Sovereign System.
+</p>
+<h3>Business Opportunities</h3>
+<p>
+  The introduction of sovereign digital identities presents significant revenue
+  growth opportunities.
+  Digital ID systems could contribute to a 3-13% GDP increase by 2030,
+  according to McKinsey research.
+  Ensuring compliance with emerging regulations like the Swiss e-ID will create
+  new opportunities across various sectors like finance and healthcare.
+  Addressing privacy challenges effectively allows to cut financial losses from
+  data breaches (averaging $4.88 million per incident) and capitalize on the
+  growing demand for trusted identity solutions.
+</p>

views/products/presentation/matrix-epfl.tpl

@@ -0,0 +1,43 @@
+<p>
+  At the end of 2023, we became aware of an unofficial Matrix instance,
+  matrix.epfl.ch, hosted by EPFL’s Center for Imaging, that was open to the
+  entire EPFL community.
+  Thinking ahead and planning to eventually move the users of
+  matrix.c4dt.org to this EPFL-wide instance, C4DT reached out to
+  Edward Andò to offer our support bolstering matrix.epfl.ch's team, which was
+  readily welcomed.
+  Edward Andò is principal scientist at the Center for Imaging at EPFL and
+  started the matrix.epfl.ch project because he needed a reliable chat
+  application that he could trust.
+</p>
+<p>
+  The strategy of the Matrix team, composed of Edward Andò and Carine Dengler,
+  was two-pronged: on the one hand, consolidating the existing service, and on
+  the other hand, officializing the service within EPFL to ensure its long-term
+  viability.
+</p>
+<p>
+  To consolidate matrix.epfl.ch, we took several steps.
+  Most notably, we established regular admin meetings for decision-taking and
+  pair-programming, put a tool in place to manage sensitive information,
+  migrated the project to EPFL's GitLab to facilitate collaboration, created
+  a dedicated test environment for new versions, and integrated the live
+  instance into C4DT's monitoring.
+</p>
+<p>
+  To engage stakeholders and gather support for an official EPFL Matrix
+  instance, we met directly with key individuals from different units within
+  EPFL.
+  We also presented the project at various internal events, most notably
+  the Forum SI organized by the central IT services of EPFL.
+  Furthermore, in collaboration with EPFL's legal team, we drafted the Terms
+  of Use of matrix.epfl.ch.
+</p>
+<p>
+  Crucially, despite almost no effort having been made to promote matrix.epfl.ch
+  to the larger EPFL community, the service experienced a remarkable surge in
+  its user base, from under a 100 registered users at the beginning of 2024 to
+  over 900 mid of 2025, with over 250 daily active users.
+  That this increase is largely attributable to word-of-mouth alone demonstrates
+  significant community interest in this service.
+</p>

views/products/presentation/orchard.tpl

@@ -0,0 +1,41 @@
+<p>
+  Starting in the late 2010s, security and computer-related conferences
+  acknowledged the presence (or not) of software artifacts accompanying research
+  papers.
+  This move was motivated by the need to be able to reproduce results in
+  research papers.
+  However, for the conference committees, evaluating these artifacts is still a
+  very time-intensive process.
+  The artifacts need to be tested, potentially modified to actually run them,
+  and then the required infrastructure needs to be available.
+</p>
+<p>
+  In order to streamline evaluation of these software artifacts, Mathias Payer
+  decided to create a platform allowing researchers to submit their software
+  artifacts.
+  These will then be evaluated by the platform, and can be compared to other
+  submitted artifacts.
+  The C4DT Factory and Mathias Payer's lab started working on the
+  "Orchestrated Artifact Evaluation", or Orchard for short.
+</p>
+<h3>System Description</h3>
+<p>
+  The goal of Orchard is to provide a platform for software artifacts related to
+  security papers describing fuzzing methods.
+  For this purpose, it provides a Docker environment with configuration files,
+  based on GitLab CI.
+  In its current state, the platform is run by the
+  "Research Computing Platform (RCP)" at EPFL on a rented server.
+  It allows users to upload new artifacts, which are then evaluated on the
+  server, and compared to other artifacts.
+</p>
+<p>
+  During 2025, the project will be tested with existing software artifacts, and
+  semester student projects at EPFL will help adding more artifacts for testing
+  and refining the use-cases.
+</p>
+<p>
+  If there is an interest from industry or from other entities to extend the
+  system to other types of software artifacts, we're happy to listen to your
+  suggestions.
+</p>