The field of software engineering and security is rapidly evolving to address the challenges posed by the impending rise of quantum technologies. Researchers are exploring innovative solutions to transition from traditional cryptographic systems to quantum-resistant alternatives, with a focus on technical, security, and operational readiness. Meanwhile, the adoption of artificial intelligence and machine learning techniques is transforming the software engineering landscape, with applications in areas such as materials property prediction, code analysis, and secure inference. Noteworthy papers in this area include: Preparing for the Post Quantum Era: Quantum Ready Architecture for Security and Risk Management (QUASAR), which introduces a novel framework for organizations to prepare for the post-quantum era. TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE, which presents an efficient on-device inference work that shields partial tensors of the model to defend against model stealing and membership inference attacks.
Advances in Post-Quantum Security and AI-Driven Software Engineering
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Preparing for the Post Quantum Era: Quantum Ready Architecture for Security and Risk Management (QUASAR) -- A Strategic Framework for Cybersecurity
A Comprehensive Study on the Use of Word Embedding Models in Software Engineering Domain
Ten Years of Software Engineering in Society
Iterative Corpus Refinement for Materials Property Prediction Based on Scientific Texts
On the Intractability of Chaotic Symbolic Walks: Toward a Non-Algebraic Post-Quantum Hardness Assumption
TensorShield: Safeguarding On-Device Inference by Shielding Critical DNN Tensors with TEE
Keyed Chaotic Tensor Transformations for Secure And Attributable Neural Inference
Quantum-Based Software Engineering