In the field of cryptography, We have a keen interest in several cutting-edge research areas. Firstly, We are focused on developing and applying cryptographic algorithms to address complex challenges in cybersecurity and privacy. Alongside this, We are also engrossed in creating Blockchain-based decentralized cryptographic algorithms, aiming to establish more secure and transparent systems. Additionally, We are fascinated by the prospect of leveraging artificial intelligence algorithms to discover vulnerabilities in existing cryptosystems. These multifaceted interests collectively contribute to our ongoing research and engagement in the evolving landscape of cryptography, as we aim to advance digital security and privacy through innovative methods.

In the domain of privacy preservation, Our interests span several critical areas. One primary focus is on protecting users' sensitive data, including usage patterns, location, and identity. Additionally, We are deeply involved in developing AI-based privacy attacks and countermeasures, an emerging field with important implications for data security. We are also committed to defining differential privacy for critical applications, a task essential for ensuring robust privacy protections across various contexts. These multifaceted interests collectively contribute to our ongoing research and engagement in the evolving field of privacy preservation, as we aim to tackle some of the most pressing challenges in data security and privacy.

In the realm of investigating cyber incidents, our research interests are diverse. A key focus is on detecting malware that exploits encryption schemes, a growing concern with the increasing use of encrypted traffic. Additionally, we are engaged in conducting reverse engineering on network packets to identify specific types of malware and botnets, adding another layer of depth to traditional security measures. We are also interested in predicting the risk of cybercrimes based on existing threats, offering a more proactive approach to cybersecurity. These varied interests collectively guide our ongoing work and research in the rapidly evolving field of cyber incident investigation, as we strive to address some of the most pressing challenges in cybersecurity.

In the context of vulnerabilities associated with AI algorithms, our research interests encompass several vital areas. A primary focus lies in performing exhaustive execution to unearth hidden vulnerabilities that may otherwise go unnoticed, thereby bolstering the security of AI systems. Alongside this, we are engaged in investigating inference and poisoning attacks, with an emphasis on developing effective countermeasures to mitigate such threats. Lastly, we are conducting research on generative adversarial networks (GANs) for critical applications, a topic of immense importance given the growing reliance on GANs in various domains. Together, these interests drive our ongoing research in the critical field of AI algorithm vulnerabilities, as we work to identify, understand, and address the most pressing challenges associated with the deployment of AI systems.