Marthin Toruan (Royal Melbourne Institute of Technology), R.D.N. Shakya (University of Moratuwa), Samuel Tseitkin (ExeQuantum), Raymond K. Zhao (ExeQuantum), Nalin Arachchilage (Royal Melbourne Institute of Technology)

Advances in quantum computing increasingly threaten the security and privacy of data protected by current cryptosystems, particularly those relying on public-key cryptography. In response, the international cybersecurity community has prioritized the implementation of Post-Quantum Cryptography (PQC), a new cryptographic standard designed to resist quantum attacks while operating on classical computers. The National Institute of Standards and Technology (NIST) has already standardized several PQC algorithms and plans to deprecate classical asymmetric schemes, such as RSA and ECDSA, by 2035. Despite this urgency, PQC adoption remains slow, often due to limited developer expertise. Application Programming Interfaces (APIs) are intended to bridge this gap, yet prior research on classical security APIs demonstrates that poor usability of cryptographic APIs can lead developers to introduce vulnerabilities during implementation of the applications, a risk amplified by the novelty and complexity of PQC. To date, the usability of PQC APIs has not been systematically studied. This research presents an empirical evaluation of the usability of the PQC APIs, observing how developers interact with APIs and documentation during software development tasks. The study identifies cognitive factors that influence the developer’s performance when working with PQC primitives with minimal onboarding. The findings highlight opportunities across the PQC ecosystem to improve developer facing guidance, terminology alignment, and workflow examples to better support non-specialists.

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Kaihua Wang (Tsinghua University), Jianjun Chen (Tsinghua University), Pinji Chen (Tsinghua University), Jianwei Zhuge (Tsinghua University), Jiaju Bai (Beihang University), Haixin Duan (Tsinghua University)

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CoT-DPG: A Co-Training based Dynamic Password Guessing Method

Chenyang Wang (National University of Defense Technology), Fan Shi (National University of Defense Technology), Min Zhang (National University of Defense Technology), Chengxi Xu (National University of Defense Technology), Miao Hu (National University of Defense Technology), Pengfei Xue (National University of Defense Technology), Shasha Guo (National University of Defense Technology), jinghua zheng (National University of Defense…

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A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic...

Zixuan Liu (Tsinghua University), Yi Zhao (Beijing Institute of Technology), Zhuotao Liu (Tsinghua University), Qi Li (Tsinghua University), Chuanpu Fu (Tsinghua University), Guangmeng Zhou (Tsinghua University), Ke Xu (Tsinghua University)

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