E-LIB Suche - Ergebnisse für: Hambitzer, Anna

1

Workload-Balanced Pruning for Sparse Spiking Neural Network:

Yin, Ruokai ; Kim, Youngeun ; Li, Yuhang...
IEEE Transactions on Emerging Topics in Computational Intelligence. 8 (2024) 4 - p. 2897-2907 , 2024

Link: https://doi.org/10.1109/..

2

Polynomial Time Cryptanalytic Extraction of Neural Network ..:

, In: Lecture Notes in Computer Science; Advances in Cryptology – EUROCRYPT 2024,

Canales-Martínez, Isaac A. ; Chávez-Saab, Jorge ; Hambitzer, Anna... - p. 3-33 , 2024

Link: https://doi.org/10.1007/..

3

NNBits: Bit Profiling with a Deep Learning Ensemble Based D..:

, In: Topics in Cryptology – CT-RSA 2023; Lecture Notes in Computer Science,

Hambitzer, Anna ; Gerault, David ; Huang, Yun Ju.. - p. 493-523 , 2023

Link: https://doi.org/10.1007/..

4

GPU4SNN: GPU-Based Acceleration for Spiking Neural Network ..:

, In: Parallel Processing and Applied Mathematics; Lecture Notes in Computer Science,

Satpute, Nitin ; Hambitzer, Anna ; Aljaberi, Saeed. - p. 399-413 , 2023

Link: https://doi.org/10.1007/..

5

A Cipher-Agnostic Neural Training Pipeline with Automated F..:

Bellini, Emanuele ; Gerault, David ; Hambitzer, Anna.
IACR Transactions on Symmetric Cryptology. , 2023

Link: https://doi.org/10.46586..

6

Limitations of the Use of Neural Networks in Black Box Cryp..:

, In: Innovative Security Solutions for Information Technology and Communications; Lecture Notes in Computer Science,

Bellini, Emanuele ; Hambitzer, Anna ; Protopapa, Matteo. - p. 100-124 , 2022

Link: https://doi.org/10.1007/..

7

InAs Channel Inset Effects on the DC, RF, and Noise Propert..:

Ruiz, Diego C. ; Saranovac, Tamara ; Han, Daxin...
IEEE Transactions on Electron Devices. 66 (2019) 11 - p. 4685-4691 , 2019

Link: https://doi.org/10.1109/..

8

Polynomial Time Cryptanalytic Extraction of Neural Network ..:

Shamir, Adi ; Canales-Martinez, Isaac ; Hambitzer, Anna...
http://arxiv.org/abs/2310.08708. , 2023

Link: http://arxiv.org/abs/231..

9

Workload-Balanced Pruning for Sparse Spiking Neural Network:

Yin, Ruokai ; Kim, Youngeun ; Li, Yuhang...
http://arxiv.org/abs/2302.06746. , 2023

Link: http://arxiv.org/abs/230..

10

A Cipher-Agnostic Neural Training Pipeline with Automated F..:

Bellini, Emanuele ; Gerault, David ; Hambitzer, Anna.
https://tosc.iacr.org/index.php/ToSC/article/view/11188/10630. , 2023

Link: https://tosc.iacr.org/in..

11

Exploring Temporal Information Dynamics in Spiking Neural N..:

Kim, Youngeun ; Li, Yuhang ; Park, Hyoungseob...
http://arxiv.org/abs/2211.14406. , 2022

Link: http://arxiv.org/abs/221..

12

InAlN/GaN-Based High Electron Mobility Transistors:

Hambitzer, Anna
http://hdl.handle.net/20.500.11850/317736. , 2019

Link: https://hdl.handle.net/2..

13

A Cipher-Agnostic Neural Training Pipeline with Automated F..:

Emanuele Bellini ; David Gerault ; Anna Hambitzer.
https://tosc.iacr.org/index.php/ToSC/article/view/11188. , 2023

Link: https://doi.org/10.46586..

14

A survey on machine learning applied to symmetric cryptanal..:

Emanuele Bellini ; Anna Hambitzer ; Matteo Rossi
volume:80. , 2022

Link: https://hdl.handle.net/1..