UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

T-BFA: T argeted B it- F lip Adversarial Weight A ttack

IEEE transactions on pattern analysis and machine intelligence, 2022-11, Vol.44 (11), p.7928-7939

2022

Volltextzugriff (PDF)

Low Loss and Low Dispersion Fiber for Transmission Applications in the Terahertz Regime

IEEE photonics technology letters, 2017-05, Vol.29 (10), p.830-833

2017

Volltextzugriff (PDF)

Improving the accuracy and robustness of RRAM-based in-memory computing against RRAM hardware noise and adversarial attacks

Semiconductor science and technology, 2022-03, Vol.37 (3), p.34001

2022

Volltextzugriff (PDF)

Analysis of pumped hydroelectric energy storage for large-scale wind energy integration

International journal of electrical engineering & education, 2023-10, Vol.60 (2_suppl), p.130-143

2023

Volltextzugriff (PDF)

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, p.588-597

2019

Volltextzugriff (PDF)

TBT: Targeted Neural Network Attack With Bit Trojan

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.13195-13204

2020

Volltextzugriff (PDF)

Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, p.1211-1220

2019

Volltextzugriff (PDF)

T-BFA: Targeted Bit-Flip Adversarial Weight Attack

IEEE transactions on pattern analysis and machine intelligence, 2022-11, Vol.44 (11), p.7928-7939

2022

Volltextzugriff (PDF)

RepNet: Efficient On-Device Learning via Feature Reprogramming

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.12267-12276

2022

Volltextzugriff (PDF)

Inverse Design of Silicon Photonics Components: A Study from Deep Learning Perspective

2023 IEEE Photonics Conference (IPC), 2023, p.1-2

2023

Volltextzugriff (PDF)

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

2022 IEEE Symposium on Security and Privacy (SP), 2022, p.1157-1174

2022

Volltextzugriff (PDF)

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.14083-14091

2020

Volltextzugriff (PDF)

DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA

2024 IEEE Symposium on Security and Privacy (SP), 2024, p.3293-3310

2024

Volltextzugriff (PDF)

Defending Bit-Flip Attack through DNN Weight Reconstruction

2020 57th ACM/IEEE Design Automation Conference (DAC), 2020, p.1-6

2020

Volltextzugriff (PDF)

CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator

Proceedings of the 55th Annual Design Automation Conference, 2018, p.1-6

2018

Volltextzugriff (PDF)

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.10184-10192

2022

Volltextzugriff (PDF)

Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution

ACM journal on emerging technologies in computing systems, 2020-04, Vol.16 (2), p.1-24

2020

Volltextzugriff (PDF)

PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks

2018 IEEE 36th International Conference on Computer Design (ICCD), 2018, p.266-273

2018

Volltextzugriff (PDF)

RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery

2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021, p.790-795

2021

Volltextzugriff (PDF)

DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks

2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, p.1-6

2024

Volltextzugriff (PDF)

Exploration of Security and Privacy Challenges through Adversarial Weight Perturbation in Deep Learning Models

Rakin, Adnan Siraj

2022

Volltextzugriff (PDF)

Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks

2021 58th ACM/IEEE Design Automation Conference (DAC), 2021, p.559-564

2021

Volltextzugriff (PDF)

Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, p.24810-24819

2024

Volltextzugriff (PDF)

DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022, p.2618-2626

2022

Volltextzugriff (PDF)

Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector

2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2019, p.332-337

2019

Volltextzugriff (PDF)

1 – 25 von 37

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(5)
Mit Volltextzugriff
(24)

Publikationsform

Sprache

Englisch
(37)

Erscheinungsjahr

n.n

Thema

Science & Technology
(22)
Technology
(22)
Computer Science
(19)
Artificial Neural Networks
(14)
Engineering
(14)
Engineering, Electrical & Electronic
(14)
Training
(13)
Neural Networks
(11)
Computational Modeling
(9)
Computer Science, Theory & Methods
(9)
Random Access Memory
(9)
Computer Science, Hardware & Architecture
(8)
Computer Vision
(8)
Deep Learning
(8)
Robustness
(7)
Algorithms
(6)
Computer Science, Artificial Intelligence
(6)
Hardware
(6)
Pattern Recognition
(6)
Quantization
(6)

15 weitere anzeigen...

Weniger anzeigen...

Kollektion

Zeitschrift / Serie

2 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(2)

Menü

Weitere Dienste

Einstellungen

T-BFA: T argeted B it- F lip Adversarial Weight A ttack

Low Loss and Low Dispersion Fiber for Transmission Applications in the Terahertz Regime

Improving the accuracy and robustness of RRAM-based in-memory computing against RRAM hardware noise and adversarial attacks

Analysis of pumped hydroelectric energy storage for large-scale wind energy integration

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack

TBT: Targeted Neural Network Attack With Bit Trojan

Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search

T-BFA: Targeted Bit-Flip Adversarial Weight Attack

RepNet: Efficient On-Device Learning via Feature Reprogramming

Inverse Design of Silicon Photonics Components: A Study from Deep Learning Perspective

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack

DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA

Defending Bit-Flip Attack through DNN Weight Reconstruction

CMP-PIM: an energy-efficient comparator-based processing-in-memory neural network accelerator

ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning

Sparse BD-Net: A Multiplication-less DNN with Sparse Binarized Depth-wise Separable Convolution

PIM-TGAN: A Processing-in-Memory Accelerator for Ternary Generative Adversarial Networks

RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery

DRAM-Locker: A General-Purpose DRAM Protection Mechanism Against Adversarial DNN Weight Attacks

Exploration of Security and Privacy Challenges through Adversarial Weight Perturbation in Deep Learning Models

Leveraging Noise and Aggressive Quantization of In-Memory Computing for Robust DNN Hardware Against Adversarial Input and Weight Attacks

Deep-TROJ: An Inference Stage Trojan Insertion Algorithm Through Efficient Weight Replacement Attack

DA3: Dynamic Additive Attention Adaption for Memory-Efficient On-Device Multi-Domain Learning

Defense-Net: Defend Against a Wide Range of Adversarial Attacks through Adversarial Detector

Suchergebnisse filtern