6 papers
Quantum-Audit: Evaluating the Reasoning Limits of LLMs on Quantum Computing
Mohamed Afane, Kayla Laufer, Wenqi Wei +4
Language models have become practical tools for quantum computing education and research, from summarizing technical papers to explaining theoretical concepts and answering questio…
Differentiable Architecture Search for Adversarially Robust Quantum Computer Vision
Mohamed Afane, Quanjiang Long, Haoting Shen +4
Current quantum neural networks suffer from extreme sensitivity to both adversarial perturbations and hardware noise, creating a significant barrier to real-world deployment. Exist…
SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language Models
Mohamed Afane, Abhishek Satyam, Ke Chen +3
Backdoor attacks create significant security threats to language models by embedding hidden triggers that manipulate model behavior during inference, presenting critical risks for…
SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
Rahul Kumar, Wenqi Wei, Ying Mao +3
We propose a circuit-level attack, SQUASH, a SWAP-Based Quantum Attack to sabotage Hybrid Quantum Neural Networks (HQNNs) for classification tasks. SQUASH is executed by inserting…
ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
Mohamed Afane, Gabrielle Ebbrecht, Ying Wang +2
Quantum Neural Networks (QNNs) offer promising capabilities for complex data tasks, but are often constrained by limited qubit resources and high entanglement, which can hinder sca…
Next-Generation Phishing: How LLM Agents Empower Cyber Attackers
Khalifa Afane, Wenqi Wei, Ying Mao +2
The escalating threat of phishing emails has become increasingly sophisticated with the rise of Large Language Models (LLMs). As attackers exploit LLMs to craft more convincing and…