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Unleashing the power of compiler intermediate representation to enhance neural program embeddings
Neural program embeddings have demonstrated considerable promise in a range of
program analysis tasks, including clone identification, program repair, code completion, and …
program analysis tasks, including clone identification, program repair, code completion, and …
Binaug: Enhancing binary similarity analysis with low-cost input repairing
Binary code similarity analysis (BCSA) is a fundamental building block for various software
security, reverse engineering, and re-engineering applications. Existing research has …
security, reverse engineering, and re-engineering applications. Existing research has …
Khaos: The impact of inter-procedural code obfuscation on binary diffing techniques
Software obfuscation techniques can prevent binary diffing techniques from locating
vulnerable code by obfuscating the third-party code, to achieve the purpose of protecting …
vulnerable code by obfuscating the third-party code, to achieve the purpose of protecting …
[HTML][HTML] BINCODEX: A comprehensive and multi-level dataset for evaluating binary code similarity detection techniques
The binary code similarity detection (BCSD) technique can quantitatively measure the
differences between two given binaries and give matching results at predefined granularity …
differences between two given binaries and give matching results at predefined granularity …
Automated program improvement with reinforcement learning and graph neural networks
Automated software transformations and the process of automated program repair and
improvement are an important aspect of modern software engineering practices. In this …
improvement are an important aspect of modern software engineering practices. In this …
An exploratory study on domain knowledge infusion in deep learning for automated threat defense
The wide adoption of interconnected services leads to the creation of supportive solutions
and business opportunities. Conversely, this new paradigm is targeted by malicious …
and business opportunities. Conversely, this new paradigm is targeted by malicious …
An Adversarial Attack on ML-Based IoT Malware Detection Using Binary Diversification Techniques
The integration of machine learning (ML) has revolutionized malware detection, enabling
accurate identification of subtle distinctions between malware and benignware. As the threat …
accurate identification of subtle distinctions between malware and benignware. As the threat …
Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements
Software composition analysis (SCA) denotes the process of identifying open-source
software components in an input software application. SCA has been extensively developed …
software components in an input software application. SCA has been extensively developed …
Flexible software protection
To counter software reverse engineering or tampering, software obfuscation tools can be
used. However, such tools to a large degree hard-code how the obfuscations are deployed …
used. However, such tools to a large degree hard-code how the obfuscations are deployed …
[PDF][PDF] Mitigating data plane device compromise in programmable networks
C Black - 2023 - pure.qub.ac.uk
Society's reliance on computer networks has grown rapidly in recent decades, with the
number of interconnected devices projected to hit 29.3 billion in 2023 [3]. This explosion in …
number of interconnected devices projected to hit 29.3 billion in 2023 [3]. This explosion in …