:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Shao, Minghao, Basit, Abdul, Karri, Ramesh, Shafique, Muhammad
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2412.03220
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
por: Chen, Boyuan, et al.
Publicado: (2025)

From Trace to Line: LLM Agent for Real-World OSS Vulnerability Localization
por: Xi, Haoran, et al.
Publicado: (2025)

VeriDispatcher: Multi-Model Dispatching through Pre-Inference Difficulty Prediction for RTL Generation Optimization
por: Wang, Zeng, et al.
Publicado: (2025)

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models
por: Shafique, Muhammad, et al.
Publicado: (2026)

QHackBench: Benchmarking Large Language Models for Quantum Code Generation Using PennyLane Hackathon Challenges
por: Basit, Abdul, et al.
Publicado: (2025)

VeriContaminated: Assessing LLM-Driven Verilog Coding for Data Contamination
por: Wang, Zeng, et al.
Publicado: (2025)

SALAD: Systematic Assessment of Machine Unlearning on LLM-Aided Hardware Design
por: Wang, Zeng, et al.
Publicado: (2025)

A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
por: Zaman, Kamila, et al.
Publicado: (2023)

GroundCount: Grounding Vision-Language Models with Object Detection for Mitigating Counting Hallucinations
por: Chen, Boyuan, et al.
Publicado: (2026)

Neuromorphic Computing for Embodied Intelligence in Autonomous Systems: Current Trends, Challenges, and Future Directions
por: Marchisio, Alberto, et al.
Publicado: (2025)

VeriLeaky: Navigating IP Protection vs Utility in Fine-Tuning for LLM-Driven Verilog Coding
por: Wang, Zeng, et al.
Publicado: (2025)

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
por: Younesi, Abolfazl, et al.
Publicado: (2024)

NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security
por: Shao, Minghao, et al.
Publicado: (2024)

LLMs for Secure Hardware Design and Related Problems: Opportunities and Challenges
por: Knechtel, Johann, et al.
Publicado: (2026)

A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
por: Chattopadhyay, Nandish, et al.
Publicado: (2025)

Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels
por: Chen, Ashley J., et al.
Publicado: (2026)

MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices
por: Basit, Abdul, et al.
Publicado: (2024)

An Empirical Evaluation of LLMs for Solving Offensive Security Challenges
por: Shao, Minghao, et al.
Publicado: (2024)

Hybrid Quantum-Classical Neural Architecture Search
por: Marchisio, Alberto, et al.
Publicado: (2026)

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
por: Shao, Minghao, et al.
Publicado: (2025)

On Efficient Real-Time Semantic Segmentation: A Survey
por: Holder, Christopher J., et al.
Publicado: (2022)

QNAS: A Neural Architecture Search Framework for Accurate and Efficient Quantum Neural Networks
por: Maleki, Kooshan, et al.
Publicado: (2026)

Scale-Gest: Scalable Model-Space Synthesis and Runtime Selection for On-Device Gesture Detection
por: Basit, Abdul, et al.
Publicado: (2026)

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
por: Nasir, Azaz-Ur-Rehman, et al.
Publicado: (2025)

FAQNAS: FLOPs-aware Hybrid Quantum Neural Architecture Search using Genetic Algorithm
por: Kashif, Muhammad, et al.
Publicado: (2025)

Quantum vs. Classical Machine Learning: A Benchmark Study for Financial Prediction
por: Ahmad, Rehan, et al.
Publicado: (2026)

IQNN-CS: Interpretable Quantum Neural Network for Credit Scoring
por: Khan, Abdul Samad, et al.
Publicado: (2025)

TinyCL: An Efficient Hardware Architecture for Continual Learning on Autonomous Systems
por: Ressa, Eugenio, et al.
Publicado: (2024)

From Natural Language to Silicon: The Representation Bottleneck in LLM Hardware Design
por: Fu, Weimin, et al.
Publicado: (2026)

MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System
por: Nawaz, Maha, et al.
Publicado: (2024)

MVB-Grasp: Minimum-Volume-Box Filtering of Diffusion-based Grasps for Frontal Manipulation
por: Poudel, Bibek, et al.
Publicado: (2026)

BRAVE: Brain-Controlled Prosthetic Arm with Voice Integration and Embodied Learning for Enhanced Mobility
por: Basit, Abdul, et al.
Publicado: (2025)

Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging
por: Rahoof, Abdul, et al.
Publicado: (2023)

A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG
por: Basit, Abdul, et al.
Publicado: (2025)

PennyCoder: Efficient Domain-Specific LLMs for PennyLane-Based Quantum Code Generation
por: Basit, Abdul, et al.
Publicado: (2025)

NetDeTox: Adversarial and Efficient Evasion of Hardware-Security GNNs via RL-LLM Orchestration
por: Wang, Zeng, et al.
Publicado: (2025)

SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-based Embedded AI Systems
por: Putra, Rachmad Vidya Wicaksana, et al.
Publicado: (2024)

ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks
por: Kashif, Muhammad, et al.
Publicado: (2024)

Benchmarking VQE Configurations: Architectures, Initializations, and Optimizers for Silicon Ground State Energy
por: Boutakka, Zakaria, et al.
Publicado: (2025)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
por: Alami, Mansour El, et al.
Publicado: (2024)