Design of an Automated Framework for Applying Generative AI-Based Source Code Obfuscation Techniques
Jihun Han +7 more
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Attribution classification method of APT malware based on multi-feature fusion. [PDF]
Zhang J, Liu S, Liu Z.
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HabitSense: A Privacy-Aware, AI-Enhanced Multimodal Wearable Platform for mHealth Applications. [PDF]
Fernandes GJ +11 more
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Intelligent recognition of counterfeit goods text based on BERT and multimodal feature fusion. [PDF]
Wang T, Li Y, Li W, Zhou L, Luo N.
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COMISET: Dataset for the analysis of malicious events in Windows systems. [PDF]
Pérez-Sánchez A +2 more
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MSSA: multi-stage semantic-aware neural network for binary code similarity detection. [PDF]
Wan B, Zhou J, Wang Y, Chen F, Qian Y.
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The European Health Data Space in communicable diseases surveillance and monitoring of medicines and vaccines: achievements of a pilot project examining the user journey. [PDF]
Schneider KL +5 more
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A standards-based approach to digital health research: implementing the people heart study. [PDF]
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Source Code Obfuscation for Smart Contracts
2020 27th Asia-Pacific Software Engineering Conference (APSEC), 2020State-of-the-art work of evaluating smart contract static analysis tools faces a major problem: most test cases (i.e., labeled buggy contracts) are too simple and lack complexity, which makes the evaluation unable to show the real performance of the analysis tools when complex contracts are analyzed.
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