Adversarial Cloud

"Adversarial cloud" research explores the vulnerabilities and security threats posed by malicious actors exploiting cloud computing environments. Current efforts focus on detecting and mitigating these threats, including developing robust defenses against adversarial attacks on machine learning models (like those used in remote sensing and quantum computing) and improving the security of federated learning systems. This research is crucial for ensuring the trustworthiness and reliability of cloud-based services, impacting various fields from cybersecurity and data privacy to the development of secure and efficient AI applications.