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templates/projects.html

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@@ -40,7 +40,7 @@ <h1 class="title is-3" style="text-align: center; font-size: 2.5em;">TrustLab Pr
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<a href="/projects/project3/" style="font-size: 1.5em; font-weight: bold; color: #4682B4;">Privacy Compliance</a>
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<a href="/projects/project3/" style="font-size: 1.5em; font-weight: bold; color: #4682B4;">Security and Privacy Compliance</a>
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<!-- <blockquote style="font-size: 1em; color: gray;">
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VPA privacy evaluation, User-Centric Privacy Explanations, Android OS-level Safeguards.
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<a href="/projects/project4/" style="font-size: 1.5em; font-weight: bold; color: #4682B4;">Defect Testing</a>
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<a href="/projects/project4/" style="font-size: 1.5em; font-weight: bold; color: #4682B4;">AI for Software Engineering</a>
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<p>Defect testing has always been a critical and highly focused topic in the field of software engineering. TrustLab has conducted in-depth and systematic research primarily on Web-based collaboration platforms, Deep Learning libraries, and the emerging third-party applications integrated with LLMs. Our rigorous defect testing has particularly focused on these platforms' performance in complex scenarios such as permission invocation, memory consumption, computational errors, data transmission, and secure API calls. Our research not only uncovers high-risk vulnerabilities hidden within these systems but also provides specific recommendations for improvement. These insights serve as valuable guidance for developers and engineers, helping them optimize system design and enhance software security and robustness.
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