1 citations · 1 across the 5 of their papers we have counts for
6 papers
When LLMs Manipulate: Measuring Behavioral, Social, and Temporal Effects
Sadia Asif, Israel Antonio Rosales Laguan, Shumaila Asif +3
Large language models (LLMs) can influence user trust and decision-making through subtle linguistic cues, yet the behavioral effects of manipulative outputs remain poorly quantifie…
Generative AI Agents for Controllable and Protected Content Creation
Haris Khan, Sadia Asif
The proliferation of generative AI has transformed creative workflows, yet current systems face critical challenges in controllability and content protection. We propose a novel mu…
Multi-Agent Framework for Controllable and Protected Generative Content Creation: Addressing Copyright and Provenance in AI-Generated Media
Haris Khan, Sadia Asif, Shumaila Asif
The proliferation of generative AI systems creates unprecedented opportunities for content creation while raising critical concerns about controllability, copyright infringement, a…
DarkPatterns-LLM: A Multi-Layer Benchmark for Detecting Manipulative and Harmful AI Behavior
Sadia Asif, Israel Antonio Rosales Laguan, Haris Khan +2
The proliferation of Large Language Models (LLMs) has intensified concerns about manipulative or deceptive behaviors that can undermine user autonomy, trust, and well-being. Existi…
Advances in Intelligent Hearing Aids: Deep Learning Approaches to Selective Noise Cancellation
Haris Khan, Shumaila Asif, Hassan Nasir +2
The integration of artificial intelligence into hearing assistance marks a paradigm shift from traditional amplification-based systems to intelligent, context-aware audio processin…
Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition
Haris Khan, Sadia Asif, Shumaila Asif +2
In real-world machine learning deployments, models must be continually updated, composed, and when required, selectively undone. However, existing approaches to model merging and c…