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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Maaz | معاذ - Computer Science PhD</title>
<style>
:root {
--golden: #C6A44C;
--dark-golden: #8B7355;
--black: #1A1A1A;
--light-bg: #F5F5F5;
}
* {
margin: 0;
padding: 0;
box-sizing: border-box;
font-family: 'Courier New', monospace;
}
body {
background: var(--light-bg);
color: var(--black);
line-height: 1.6;
}
nav {
background: var(--black);
padding: 1rem;
border-bottom: 2px solid var(--golden);
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nav a {
color: var(--golden);
text-decoration: none;
margin-right: 2rem;
font-weight: bold;
transition: color 0.3s;
}
nav a:hover {
color: var(--dark-golden);
}
.container {
max-width: 1200px;
margin: 0 auto;
padding: 2rem;
}
.header {
border-left: 4px solid var(--golden);
padding-left: 1rem;
margin-bottom: 2rem;
}
.profile-section {
display: flex;
gap: 2rem;
margin-bottom: 2rem;
}
.profile-image {
width: 200px;
height: 200px;
background: #ddd;
border: 2px solid var(--golden);
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.updates {
margin-top: 2rem;
overflow-y: scroll;
height: 500px;
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.update-item {
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background: white;
box-shadow: 3px 3px 0 var(--golden);
}
.research-project {
border: 1px solid var(--golden);
padding: 1.5rem;
margin-bottom: 2rem;
background: white;
}
/* Image container div */
.project-image-container {
display: flex;
justify-content: center;
align-items: center;
margin-bottom: 1rem;
border: 1px solid var(--golden);
padding: 1rem;
background: white;
}
/* Project image styling */
.project-image {
max-width: 50%;
height: auto;
display: block;
}
h1, h2, h3 {
color: var(--black);
margin-bottom: 1rem;
}
.contact-info {
background: white;
padding: 1rem;
border: 1px solid var(--golden);
margin-top: 2rem;
}
.icon {
color: var(--golden);
margin-right: 0.5rem;
}
#page-research {
display: none;
}
#page-personal {
display: none;
}
.nav-active {
text-decoration: underline;
}
</style>
<script src="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/js/all.min.js"></script>
</head>
<body>
<nav>
<a href="#" onclick="showPage('home')" id="nav-home">HOME</a>
<a href="#" onclick="showPage('research')" id="nav-research">RESEARCH</a>
<!-- <a href="#" onclick="showPage('personal')" id="nav-personal">PERSONAL</a> -->
<a class="link" href="res/research-cv.pdf" target="_blank">CV</a>
</nav>
<!-- Home Page -->
<div id="page-home" class="container">
<div class="header">
<h1> Maaz | معاذ </h1>
<h2>PhD Candidate in Computer Science</h2>
<p>University of Iowa</p>
</div>
<div class="profile-section">
<img src="res/dp2.jpeg" alt="Profile" class="profile-image">
<div>
<p>
My name is Maaz Bin Musa and I am an outgoing Computer Science PhD student at The University of Iowa.
I am being advised by Dr. Rishab Nithyanand who also runs the <a style="color:green" href="https://sparta.cs.uiowa.edu/"><u>SPARTA lab</u></a>.
Currently, I am interning at AccuCode AI, where I work on developing ML solutions for health care providers.
<br>
<br>
My research is best described as developing privacy and compliance auditing tools. More concretely I leverage scalable automation and NLP toolkits
to develop tools that facilitate regulatory authorities in monitoring privacy enforcement. These tools also facilitate quantifying
compliance of data brokers.
<br>
</p>
<div class="contact-info">
<p><i class="fas fa-envelope icon"></i>[email protected]</p>
<p><i class="fab fa-github icon"></i><a href="https://github.com/MaazBinMusa">MaazBinMusa</a></p>
<p><i class="fas fa-book icon"></i><a href="https://scholar.google.com/citations?user=sSRFQrYAAAAJ&hl=en" target="_blank">GoogleScholar</a></p>
</div>
</div>
</div>
<h2><i class="fas fa-newspaper icon"></i> Latest Updates</h2>
<div class="updates">
<div class="update-item">
<h3>Presenting @ EMNLP 2024</h3>
<small>Nov 13, 2024</small>
</div>
<div class="update-item">
<h3>Paper Accepted at EMNLP 2024</h3>
<p>My work on a regulation aware expert annotated dataset has been accepted.</p>
<small>Oct 15, 2024</small>
</div>
<div class="update-item">
<h3>Internship at AccuCode</h3>
<p>Extended internship as a ML / Privacy engineer at AccuCode</p>
<small>Aug 2024</small>
</div>
<div class="update-item">
<h3>Internship at AccuCode</h3>
<p>Landed a summer intern position working on autoamted health care solutions</p>
<small>Jun 2024</small>
</div>
<div class="update-item">
<h3>PhD Proposal submitted</h3>
<small>Feb 2024</small>
</div>
<div class="update-item">
<h3>3MT Peoples choice award <a href="https://grad.uiowa.edu/students/profiles/maaz-musa"> Link</a></h3>
<small>Nov 2023</small>
</div>
<div class="update-item">
<h3>Presented at Graduate Research Symposium</h3>
<small>Nov 2023</small>
</div>
<div class="update-item">
<h3>Artifact reviewer PETS</h3>
<small>Jun 2023</small>
</div>
<div class="update-item">
<h3>Paper accepted at Harvard JOLT 2023</h3>
<p>Forms of disclosure:</p>
<small>Jun 2023</small>
</div>
<div class="update-item">
<h3>Guest lecturer in Privacy Law and Technology</h3>
<p>(Privacy starter kit).</p>
<small>May 2023</small>
</div>
<div class="update-item">
<h3>Attended PETS 22</h3>
<p>presentend at PETS and won award</p>
<small>Jul 2022</small>
</div>
<div class="update-item">
<h3>Started internship at ICSI Berkeley 2022</h3>
<p>Summer intern</p>
<small>May 2022</small>
</div>
<div class="update-item">
<h3>Paper accepted at PETS 2022</h3>
<p>ATOM: </p>
<small>May 2022</small>
</div>
<div class="update-item">
<h3>Paper accepted at ICWSM 2022</h3>
<p>Act or React: </p>
<small>Nov 2021</small>
</div>
<div class="update-item">
<h3>Paper accepted at PETS 2020</h3>
<p>CanaryTrap: </p>
<small>Jun 2020</small>
</div>
<div class="update-item">
<h3>Started PhD @ UIowa</h3>
<small>Aug 2019</small>
</div>
<div class="update-item">
<h3>Left TPI Lab @ LUMS</h3>
<small>May 2019</small>
</div>
</div>
</div>
<!-- Research Page -->
<div id="page-research" class="container">
<div class="header">
<h1>Research Projects</h1>
</div>
<div class="research-project">
<div class="project-image-container">
<img src="projects/res/c3pa-main.png" alt="Project 1" class="project-image">
</div>
<h2>C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies</h2>
<p><strong>Status:</strong> Accepted | EMNLP 24 | <a href="https://github.com/MaazBinMusa/C3PA_Dataset">[Dataset Link]</a> | <a class="links" href="https://arxiv.org/abs/2410.03925" target="_blank">[Paper]</a></p>
<p><strong>Authors: Maaz Bin Musa </strong>, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin, Padmini Srinivasan, Mihailis E. Diamantis, Rishab Nithyanand</p>
<p><strong>Overview:</strong> Effective tools for analyzing organizations' data practices from privacy policies are essential for scalable compliance audits, but many existing tools struggle to identify issues and remedies due to their reliance on outdated, regulation-agnostic datasets. This paper introduces C3PA, the first open, regulation-aware dataset of expert-annotated privacy policies tailored for CCPA compliance, containing over 48K labeled text segments from 411 organizations to support automated audits of CCPA-specific disclosure requirements.</p>
</div>
<div class="research-project">
<div class="project-image-container">
<img src="projects/res/jolt.png" alt="Project 2" class="project-image">
</div>
<h2>Forms of Disclosure: The Path to Automated Data Privacy Audits</h2>
<p><strong>Status:</strong> Completed | Harvard JOLT 23 | <a class="links" href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4458285" target="_blank">[Paper]</a></p>
<p><strong>Authors: </strong> Mihailis Diamantis, <strong>Maaz Bin Musa,</strong>, Lucas Ausberger, Rishab Nithyanand </p>
<p><strong>Overview: </strong> Auditing online privacy has become critical to ensure compliance with the upcoming data privacy laws. However, this work
highlights the variability in the forms of disclosures. We propose a uniform machine readable disclosure form
that can be used to automate the auditing process. This would allow authorities to match the disclosures with the actual
data practices of the company on a scale without the need for manual intervention.</p>
</div>
<div class="research-project">
<div class="project-image-container">
<img src="projects/res/Atom.png" alt="Project 2" class="project-image">
</div>
<h2>ATOM: Ad-network Tomography</h2>
<p><strong>Status:</strong> Completed | PETS 22 | <a class="links" href="https://petsymposium.org/2022/files/papers/issue4/popets-2022-0110.pdf" target="_blank">[Paper]</a></p>
<p><strong>Authors: Maaz Bin Musa,</strong> Rishab Nithyanand</strong></p>
<p><strong>Overview: </strong>
A users' data is often propagated to multiple third-party services through ad-networks. This work uses the ad
content served to a user, to identify the ad-networks that are responsible for the data propagation. Unlike
previous works in this space, it does not depend on any artifact that is ephemeral in nature. Our results
indicate the feasibility of this approach and its potential to be used as a tool for privacy audits.
</p>
</div>
<div class="research-project">
<div class="project-image-container">
<img src="projects/res/actorreact3.png" alt="Project 2" class="project-image">
</div>
<h2>To Act or React: Investigating Proactive Strategies For Online Community Moderation</strong></h2>
<p><strong>Status:</strong> Completed | ICWSM 22 | <a class="links" href="https://ojs.aaai.org/index.php/ICWSM/article/view/19290/19062" target="_blank">[paper]</a></p>
<p><strong>Authors:</strong> Hussam Habib,<strong> Maaz Bin Musa</strong>, Fareed Zaffar, Rishab Nithyanand
<p><strong>Overview: </strong>
Community-level moderation for Reddit and similar platforms is a complex task. Our analysis show that subreddits are constantly changing and therefore timely interventions are prohibitively expesnsive
because of the scale. To address this issue, we propose a flagging tool which aids administrators by
flagging subreddits that exhibit similarly problematic behavior as seen in previously banned communities.
</p>
</div>
<div class="research-project">
<div class="project-image-container">
<img src="projects/res/canarymatrix.png" alt="Project 2" class="project-image">
</div>
<h2>CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks</h2>
<p><strong>Status:</strong> Completed | PETS 20 | <a class="links" href="https://petsymposium.org/popets/2020/popets-2020-0076.pdf" target="_blank">[paper]</a></p>
<p><strong>Authors: </strong> Shehroze Farooqi, <strong>Maaz Bin Musa,</strong> Fareed Zaffar, Zubair Shafique
<p><strong>Overview: </strong>
The driving force behind all activity on the Internet is user data. This work proposes a novel matrix approach to
set up traps using email addresses, to detect the misuse of user data once it has been shared with third-party apps.
We find several apps share data with malicious entities which consequently use it for phishing or ransomware attacks.
</p>
</div>
</div>
<!-- Personal Endevours-->
<div id="page-personal" class="container">
<h1>Personal Endevours</h1>
</div>
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