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Label Correlation in Deep Learning-Based Side-Channel Analysis.

, , , , , , и . IEEE Trans. Inf. Forensics Secur., (2023)

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Lichao Teng

Lichao Wang

Lichao Chen

Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche Chromatographie. Uni Erlangen-Nürnberg, (2009)

Yinghua Wu

 

Другие публикации лиц с тем же именем

A Fast Characterization Method for Semi-invasive Fault Injection Attacks., , , и . CT-RSA, том 12006 из Lecture Notes in Computer Science, стр. 146-170. Springer, (2020)Label Correlation in Deep Learning-Based Side-Channel Analysis., , , , , , и . IEEE Trans. Inf. Forensics Secur., (2023)On the Evaluation of Deep Learning-Based Side-Channel Analysis., , и . COSADE, том 13211 из Lecture Notes in Computer Science, стр. 49-71. Springer, (2022)Reinforcement Learning-Based Design of Side-Channel Countermeasures., , и . SPACE, том 13162 из Lecture Notes in Computer Science, стр. 168-187. Springer, (2021)On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis., и . ACNS Workshops, том 12809 из Lecture Notes in Computer Science, стр. 114-132. Springer, (2021)Deep Learning on Side-Channel Analysis., , , , , , и . Security and Artificial Intelligence, (2022)Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel Analysis., , , и . COSADE, том 13211 из Lecture Notes in Computer Science, стр. 29-48. Springer, (2022)Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/Ciphertext., , и . IACR Cryptol. ePrint Arch., (2023)On the Evaluation of Deep Learning-based Side-channel Analysis., , и . IACR Cryptol. ePrint Arch., (2021)NASCTY: Neuroevolution to Attack Side-channel Leakages Yielding Convolutional Neural Networks., , и . CoRR, (2023)