Skip to content
conftrace_
2023 AAAI AAAI 2023

Hardness of Learning AES Key (Student Abstract)

Abstract

Abstract We show hardness of learning AES key from pairs of ciphertexts under the assumption of computational closeness of AES to pairwise independence. The latter is motivated by a recent result on statistical closeness of AES to pairwise independence.

Authors

Artur Pak, Sultan Nurmukhamedov, Rustem Takhanov, Zhenisbek Assylbekov

Topics

Machine Learning > Optimization & Theory > Learning Theory

Keywords

learning theory computational hardness aes encryption ciphertext analysis
Download PDF

More from AAAI 2023

All AAAI 2023 papers →
Fraud’s Bargain Attacks to Textual Classifiers via Metropolis-Hasting Sampling (Student Abstract)
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract)
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract)
Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract)
Neural Language Model Based Attentive Term Dependence Model for Verbose Query (Student Abstract)
Evaluating Factors Influencing COVID-19 Outcomes across Countries Using Decision Trees (Student Abstract)