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Author

Fawwad Hassan Jaskani

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5 papers indexed here

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Open access 2026

A Closed-Loop Framework for Trustworthiness Assessment in Large Language Models

: Trustworthiness is a fundamental requirement for Large Language Models (LLMs), particularly in high-stakes domains such as healthcare, finance, and education, where unreliable model behavior may lead to incorrect or misleading responses. We distinguish safety , which concerns harmful or undesirable outputs, from secur...

Khadija Parwez, Faheem Shaukat, Faisal Alhwikem et al. · 0 citations
Open access Oct 2026

An Optimized Audio–Visual Deepfake Detection Framework Using Mamba Vision Transformers with Linear Complexity

The rise of advanced deepfake technologies presents new challenges to media authenticity, making it harder to spot manipulated videos through traditional approaches. Current approaches have a quadratic time complexity O(n2), poor cross-dataset generalization with 20 to 35% accuracy degradation, and inadequate audio–vis...

Aisha Arain, Bushra Naz, Sania Bhatti et al. · 0 citations
Open access Sep 2026

ContextGuard-RAG: Contextual Integrity-Aware Retrieval-Augmented Generation with Multi-Agent Privacy Enforcement for Sensitive Document Question Answering

Large language model (LLM)-powered retrieval-augmented generation (RAG) systems significantly reduce factual errors in question answering, but they present a novel and under-investigated attack surface: factual information in retrieved text can be exposed in ways that do not align with the disclosure norms of the infor...

Faisal Alhwikem, A. Khan, Fawwad Hassan Jaskani · 0 citations
Open access Sep 2026

SecurePrompt-IntegrityNet: Prompt-Injection-Resilient Data Integrity Verification for Agentic LLM Networks via Cryptographic Attestation and Activation Monitoring

Results demonstrate that jointly preserving cryptographic integrity symmetry and identifying activation-level asymmetry provides substantially stronger prompt-injection resilience than either verification mechanism alone.

Faisal Alhwikem, A. Khan, Fawwad Hassan Jaskani · 0 citations
Open access 2026

Teaching LLMs to Infer Real-World Consequences through Embodied Semantic Grounding

Embodied Semantic Grounding (ESG) is proposed, a framework that equips LLMs with consequence-aware text representations that extends affordance-grounding with consequence-level representations of post-event environmental functionality.

Manaswi Kulahara, Khadija Parwez, Faisal Alhwikem et al. · 0 citations

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