Improving Attacks on Round-Reduced Speck32/64 Using Deep Learning. - Aron Gohr (CRYPTO (2), 2019)

Improving Attacks on Speck32/64 using Deep Learning. - Aron Gohr (IACR Cryptol. ePrint Arch., 2019)

CHES 2018 Side Channel Contest CTF - Solution of the AES Challenges. - Aron Gohr; Sven Jacob; Werner Schindler (IACR Cryptol. ePrint Arch., 2019)

Machine learning and side channel analysis in a CTF competition. - Yongbo Hu; Yeyang Zheng; Pengwei Feng; Lirui Liu; Chen Zhang; Aron Gohr; Sven Jacob; Werner Schindler; Ileana Buhan; Karim Tobich (IACR Cryptol. ePrint Arch., 2019)

Subsampling and Knowledge Distillation on Adversarial Examples: New Techniques for Deep Learning Based Side Channel Evaluations. - Aron Gohr; Sven Jacob; Werner Schindler (SAC, 2020)

Verräterischer Stromverbrauch. - Aron Gohr; Dominik Klein 001; Werner Schindler (Datenschutz und Datensicherheit, 2020)

Efficient Solutions of the CHES 2018 AES Challenge Using Deep Residual Neural Networks and Knowledge Distillation on Adversarial Examples. - Aron Gohr; Sven Jacob; Werner Schindler (IACR Cryptol. ePrint Arch., 2020)

Brute Force Cryptanalysis. - Aron Gohr (IACR Cryptol. ePrint Arch., 2022)

An Assessment of Differential-Neural Distinguishers. - Aron Gohr; Gregor Leander; Patrick Neumann 004 (IACR Cryptol. ePrint Arch., 2022)

Breaking Masked Implementations of the Clyde-Cipher by Means of Side-Channel Analysis A Report on the CHES Challenge Side-Channel Contest 2020. - Aron Gohr; Friederike Laus; Werner Schindler (IACR Trans. Cryptogr. Hardw. Embed. Syst., 2022)

DL-SITM: Deep Learning-Based See-in-the-Middle Attack on AES. - Tomas Gerlich; Jakub Breier; Pavel Sikora; Zdenek Martinasek; Aron Gohr; Anubhab Baksi; Xiaolu Hou (IACR Cryptol. ePrint Arch., 2024)