:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Aswani, Nishant Suresh, Guesmi, Amira, Hanif, Muhammad Abdullah, Shafique, Muhammad
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Machine Learning
Online-Zugang:	https://arxiv.org/abs/2405.03244
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach
von: Guesmi, Amira, et al.
Veröffentlicht: (2024)

DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
von: Guesmi, Amira, et al.
Veröffentlicht: (2025)

Representing Neural Network Layers as Linear Operations via Koopman Operator Theory
von: Aswani, Nishant Suresh, et al.
Veröffentlicht: (2024)

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
von: Guesmi, Amira, et al.
Veröffentlicht: (2023)

Koopman Autoencoders Learn Neural Representation Dynamics
von: Aswani, Nishant Suresh, et al.
Veröffentlicht: (2025)

SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms
von: Pudasaini, Niraj, et al.
Veröffentlicht: (2024)

Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language Models
von: Guesmi, Amira, et al.
Veröffentlicht: (2026)

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
von: Guesmi, Amira, et al.
Veröffentlicht: (2024)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
von: Chattopadhyay, Nandish, et al.
Veröffentlicht: (2023)

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

Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles
von: Guesmi, Amira, et al.
Veröffentlicht: (2024)

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems
von: Shahzad, Muhammad Zaeem, et al.
Veröffentlicht: (2025)

PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
von: Chattopadhyay, Nandish, et al.
Veröffentlicht: (2026)

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

PENDRAM: Enabling High-Performance and Energy-Efficient Processing of Deep Neural Networks through a Generalized DRAM Data Mapping Policy
von: Putra, Rachmad Vidya Wicaksana, et al.
Veröffentlicht: (2024)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
von: Chattopadhyay, Nandish, et al.
Veröffentlicht: (2024)

Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
von: Guesmi, Amira, et al.
Veröffentlicht: (2024)

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization
von: Guesmi, Amira, et al.
Veröffentlicht: (2025)

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
von: Guesmi, Amira, et al.
Veröffentlicht: (2025)

Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
von: Guesmi, Amira, et al.
Veröffentlicht: (2025)

Democratizing MLLMs in Healthcare: TinyLLaVA-Med for Efficient Healthcare Diagnostics in Resource-Constrained Settings
von: Mir, Aya El, et al.
Veröffentlicht: (2024)

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

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

AdvART: Adversarial Art for Camouflaged Object Detection Attacks
von: Guesmi, Amira, et al.
Veröffentlicht: (2023)

Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather
von: Shahzad, Muhammad Zaeem, et al.
Veröffentlicht: (2024)

Dynamic Mode Decomposition along Depth in Vision Transformers
von: Aswani, Nishant Suresh, et al.
Veröffentlicht: (2026)

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

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

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

DECADE: Towards Designing Efficient-yet-Accurate Distance Estimation Modules for Collision Avoidance in Mobile Advanced Driver Assistance Systems
von: Shahzad, Muhammad Zaeem, et al.
Veröffentlicht: (2024)

Accelerated Nonnegative Tensor Completion via Integer Programming
von: Pan, Wenhao, et al.
Veröffentlicht: (2022)

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
von: Innan, Nouhaila, et al.
Veröffentlicht: (2026)

Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models
von: Basit, Abdul, et al.
Veröffentlicht: (2026)

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

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

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges
von: Shao, Minghao, et al.
Veröffentlicht: (2024)

Mechanistic Analysis of Circuit Preservation in Federated Learning
von: Haseeb, Muhammad, et al.
Veröffentlicht: (2025)

Toward Temporal Causal Representation Learning with Tensor Decomposition
von: Chen, Jianhong, et al.
Veröffentlicht: (2025)

Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs
von: Ostrowski, Erik, et al.
Veröffentlicht: (2024)

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