The recent developments in the research area have shown a significant shift towards enhancing the robustness and security of various systems, particularly in the context of adversarial attacks and hardware vulnerabilities. There is a growing emphasis on developing frameworks that not only detect but also mitigate these threats efficiently. Innovations in model obfuscation and dynamic verification techniques are being explored to protect intellectual property and ensure the integrity of deployed models. Additionally, advancements in formal verification methods are being automated to reduce human effort and improve the reliability of complex systems. The integration of decentralized identifiers and verifiable credentials is also gaining traction for managing digital product passports, promoting a more scalable and reliable system for product information management. Notably, there is a surge in research focused on physical adversarial attacks against face recognition systems, highlighting the need for comprehensive defense strategies. The field is also witnessing the application of fuzzing techniques to hardware verification, aiming to achieve faster coverage and detect vulnerabilities more effectively. Overall, the trend is towards more sophisticated, automated, and privacy-preserving solutions that address the multifaceted challenges in security and robustness.