The field of cryptography is moving towards the development of more secure and efficient cryptographic primitives, with a focus on advanced attack vectors and privacy-preserving computations. Recent research has explored the properties of equivalence classes in AES, novel poisoning attacks on local differential privacy, and the design of compact and secure S-boxes. Additionally, there is a growing interest in secure shuffling protocols and their applications in privacy-preserving computations. Noteworthy papers in this area include those that introduce novel poisoning attacks for ranking estimation and propose strategies for defending against these attacks, as well as those that design and implement attribute inference measures that incorporate both precision and recall. Other notable works include the development of a compact 16-bit S-box with high security and the introduction of a framework for quantifying classifier utility under local differential privacy. Notable papers include:

• Poisoning Attacks to Local Differential Privacy for Ranking Estimation, which introduces novel poisoning attacks for ranking estimation and proposes strategies for defending against these attacks.
• A Compact 16-bit S-box over Tower Field, which designs and implements a compact and secure 16-bit S-box with high security.
• Quantifying Classifier Utility under Local Differential Privacy, which introduces a framework for quantifying classifier utility under local differential privacy.