Deep Learning Side-Channel Analysis on Large-Scale Traces

Author:

Masure Loïc,Belleville Nicolas,Cagli Eleonora,Cornélie Marie-Angela,Couroussé Damien,Dumas Cécile,Maingault Laurent

Publisher

Springer International Publishing

Reference47 articles.

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2. Agosta, G., Barenghi, A., Pelosi, G.: A code morphing methodology to automate power analysis countermeasures. In: DAC (2012). https://doi.org/10.1145/2228360.2228376

3. Agosta, G., Barenghi, A., Pelosi, G., Scandale, M.: The MEET approach: securing cryptographic embedded software against side channel attacks. TCAD (2015). https://doi.org/10.1109/TCAD.2015.2430320

4. ARMmbed: $$32$$-bit t-table implementation of aes for mbed tls (2019). https://github.com/ARMmbed/mbedtls/blob/master/library/aes.c

5. Becker, G., Cooper, J., De Mulder, E., Goodwill, G., Jaffe, J., Kenworthy, G., et al.: Test vector leakage assessment (TVLA) derived test requirements (DTR) with AES. In: International Cryptographic Module Conference (2013)

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