John Sheppard
Biographic Data
| ID | 3874592 |
|---|---|
| NAME | John Sheppard |
| GIVEN NAMES | John |
| FAMILY NAME | Sheppard |
| SIGNATURE | SHEPPARD J |
| AFFILIATIONS | South East Water (Australia) |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1928 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
AutoDFBench 1.0
The National Institute of Standards and Technology (NIST) Computer Forensic Tool Testing (CFTT) programme has become the de facto standard for providing digital forensic tool testing and validation. However to date, no comprehensive framework exists to automate benchmarking across the diverse forensic tasks included in the programme. This gap results in inconsistent validation, challenges in comparing tools, and limited validation reproducibility…
Vaas
Recent advances in AI-driven image generation have introduced new challenges for verifying the authenticity of digital evidence in forensic investigations. Modern generative models can produce visually consistent forgeries that evade traditional detectors based on pixel or compression artefacts. Most existing approaches also lack an explicit measure of anomaly intensity, which limits their ability to quantify the severity of manipulation. This pa…
Th Century
The Agamemnon of Aeschylus
Aeschylus and Sophocles
No prominent works on this page.
Aeschylus and Sophocles
The Agamemnon of Aeschylus
Th Century
AutoDFBench 1.0
The National Institute of Standards and Technology (NIST) Computer Forensic Tool Testing (CFTT) programme has become the de facto standard for providing digital forensic tool testing and validation. However to date, no comprehensive framework exists to automate benchmarking across the diverse forensic tasks included in the programme. This gap results in inconsistent validation, challenges in comparing tools, and limited validation reproducibility…
Vaas
Recent advances in AI-driven image generation have introduced new challenges for verifying the authenticity of digital evidence in forensic investigations. Modern generative models can produce visually consistent forgeries that evade traditional detectors based on pixel or compression artefacts. Most existing approaches also lack an explicit measure of anomaly intensity, which limits their ability to quantify the severity of manipulation. This pa…
Art (2 works) · Classical Antiquity Studies (2 works) · Digital and Cyber Forensics (2 works) · Digital forensics (2 works) · Organic Chemistry Synthesis Methods (2 works) · Advanced Malware Detection Techniques (1 work) · Anomaly detection (1 work) · Benchmarking (1 work) · Computer Science (1 work) · Digital image (1 work)