NNBits: Bit Profiling with a Deep Learning Ensemble Based Distinguisher

ePrint Report: NNBits: Bit Profiling with a Deep Learning Ensemble Based Distinguisher

Anna Hambitzer, David Gerault, Yun Ju Huang, Najwa Aaraj, Emanuele Bellini

We introduce a deep learning ensemble (NNBits) as a tool for bit-profiling and evaluation of cryptographic (pseudo) random bit sequences. Onthe one hand, we show how to use NNBits ensemble to ex-plain parts of the seminal work of Gohr [16]: Gohr’s depth-1 neural distinguisher reaches a test accuracy of 78.3% in round 6 for SPECK32/64 [3]. Using …

deep learning eprint report evaluation profiling random report tool