arXiv AI By Gupta Lovi Raj, kaur Kamalpreet, Dama Sriram, Parali Prajithaa

Behaviorally Adaptive Visual Diversion for Inclusive and Resilient Digital Assessment Delivery

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arXiv:2608. 03531v1 Announce Type: new Abstract: Institutions increasingly rely on browser lockdown, webcam monitoring, and behavioral analytics to secure high-stakes digital assessments, yet these mechanisms are commonly designed and evaluated independently and often overlook learner accessibility.

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arXiv AI
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Multi-Layer Context Camouflaging: A Semantic Superposition and Contextual Lamination Framework for Malpractice-Resilient Online Assessment

arXiv:2608. 13100v1 Announce Type: new Abstract: Contemporary online assessment systems rely primarily on browser lockdown, webcam monitoring, and behavioural analytics, yet remain vulnerable to attacks that extract the assessment content itself through screenshots, screen sharing, optical character recognition, and automated scraping.

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COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models

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Cookie-Bench: Continuous On-screen Key Interaction Evaluation for Web Generation

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Flow-A11y: Flow-Aware Accessibility Testing

arXiv:2607. 03100v1 Announce Type: cross Abstract: Modern web applications increasingly expose accessibility barriers through interaction flows rather than static page snapshots.

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