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Anna Hambitzer
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2020 – today
- 2024
- [j2]Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2897-2907 (2024) - [c5]Isaac Andrés Canales Martinez, Jorge Chávez-Saab, Anna Hambitzer, Francisco Rodríguez-Henríquez, Nitin Satpute, Adi Shamir:
Polynomial Time Cryptanalytic Extraction of Neural Network Models. EUROCRYPT (3) 2024: 3-33 - [i9]David Gérault, Anna Hambitzer, Moritz Huppert, Stjepan Picek:
SoK: 5 Years of Neural Differential Cryptanalysis. IACR Cryptol. ePrint Arch. 2024: 1300 (2024) - [i8]Emanuele Bellini, Mattia Formenti, David Gérault, Juan Grados, Anna Hambitzer, Yun Ju Huang, Paul Huynh, Mohamed Rachidi, Raghvendra Rohit, Sharwan K. Tiwari:
CLAASPing ARADI: Automated Analysis of the ARADI Block Cipher. IACR Cryptol. ePrint Arch. 2024: 1324 (2024) - [i7]Nicholas Carlini, Jorge Chávez-Saab, Anna Hambitzer, Francisco Rodríguez-Henríquez, Adi Shamir:
Polynomial Time Cryptanalytic Extraction of Deep Neural Networks in the Hard-Label Setting. IACR Cryptol. ePrint Arch. 2024: 1580 (2024) - 2023
- [j1]Emanuele Bellini, David Gérault, Anna Hambitzer, Matteo Rossi:
A Cipher-Agnostic Neural Training Pipeline with Automated Finding of Good Input Differences. IACR Trans. Symmetric Cryptol. 2023(3): 184-212 (2023) - [c4]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. AAAI 2023: 8308-8316 - [c3]Anna Hambitzer, David Gérault, Yun Ju Huang, Najwa Aaraj, Emanuele Bellini:
NNBits: Bit Profiling with a Deep Learning Ensemble Based Distinguisher. CT-RSA 2023: 493-523 - [i6]Ruokai Yin, Youngeun Kim, Yuhang Li, Abhishek Moitra, Nitin Satpute, Anna Hambitzer, Priyadarshini Panda:
Workload-Balanced Pruning for Sparse Spiking Neural Networks. CoRR abs/2302.06746 (2023) - [i5]Adi Shamir, Isaac Andrés Canales Martinez, Anna Hambitzer, Jorge Chávez-Saab, Francisco Rodríguez-Henríquez, Nitin Satpute:
Polynomial Time Cryptanalytic Extraction of Neural Network Models. CoRR abs/2310.08708 (2023) - [i4]Anna Hambitzer, David Gérault, Yun Ju Huang, Najwa Aaraj, Emanuele Bellini:
NNBits: Bit Profiling with a Deep Learning Ensemble Based Distinguisher. IACR Cryptol. ePrint Arch. 2023: 819 (2023) - [i3]Isaac Andrés Canales Martinez, Jorge Chávez-Saab, Anna Hambitzer, Francisco Rodríguez-Henríquez, Nitin Satpute, Adi Shamir:
Polynomial Time Cryptanalytic Extraction of Neural Network Models. IACR Cryptol. ePrint Arch. 2023: 1526 (2023) - 2022
- [c2]Nitin Satpute, Anna Hambitzer, Saeed Aljaberi, Najwa Aaraj:
GPU4SNN: GPU-Based Acceleration for Spiking Neural Network Simulations. PPAM (1) 2022: 399-413 - [i2]Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda:
Exploring Temporal Information Dynamics in Spiking Neural Networks. CoRR abs/2211.14406 (2022) - [i1]Emanuele Bellini, David Gérault, Anna Hambitzer, Matteo Rossi:
A Cipher-Agnostic Neural Training Pipeline with Automated Finding of Good Input Differences. IACR Cryptol. ePrint Arch. 2022: 1467 (2022) - 2021
- [c1]Emanuele Bellini, Anna Hambitzer, Matteo Protopapa, Matteo Rossi:
Limitations of the Use of Neural Networks in Black Box Cryptanalysis. SecITC 2021: 100-124
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