We believe that EVA would enable a wider adoption of FHE by making it easier to develop FHE applications and domain-specific FHE compilers.
Due to the vulnerability of deep neural networks (DNNs) to adversarial examples, a large number of defense techniques have been proposed to alleviate this problem in recent years.
Binary-source code matching plays an important role in many security and software engineering related tasks such as malware detection, reverse engineering and vulnerability assessment.
In this paper, we present our customised deep neural network model, we review the research gaps, the existing challenges, and the solutions to cope with the issues.
It is well-known that static analysis does not rely on any input packets and can achieve high coverage by scanning every piece of code.
Cryptography and Security Programming Languages
Identifying vulnerabilities in the source code is essential to protect the software systems from cyber security attacks.
Recent work has developed SDN solutions to collect device context for network-wide access control in a central controller.
Networking and Internet Architecture Cryptography and Security
Such networks help answer questions such as "How many packages have dependencies to packages with known security issues?"
Software Engineering
The Chromium open-source project has become a fundamental piece of the Web as we know it today, with multiple vendors offering browsers based on its codebase.
Cryptography and Security
However, general graph drawing layouts, including the hierarchical ones frequently applied to CFGs, do not capture CFG-specific structures or tasks and thus the resulting drawing may not match the needs of their audience, especially for more complicated programs.
Human-Computer Interaction