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Demonstrative Evidence and the Use of Algorithms in Jury Trials

July 3, 2024 / /
We investigate how the use of bullet comparison algorithms and demonstrative evidence may affect juror perceptions of reliability, credibility, and understanding of expert witnesses and presented evidence. The use of
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ShoeCase: A data set of mock crime scene footwear impressions

July 3, 2024 / /
This project’s main objective is to create an open-source database containing a sizeable number of high-quality images of shoe impressions. The Center for Statistics and Applications in Forensic Evidence (CSAFE)
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Combining reproducibility and repeatability studies with applications in forensic science

July 3, 2024 / /
Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely
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Reliability of ordinal outcomes in forensic black-box studies

July 3, 2024 / /
Forensic science disciplines such as latent print examination, bullet and cartridge case comparisons, and shoeprint analysis, involve subjective decisions by forensic experts throughout the examination process. Most of the decisions
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A finely tuned deep transfer learning algorithm to compare outsole images

July 3, 2024 / /
In forensic practice, evaluating shoeprint evidence is challenging because the differences between images of two different outsoles can be subtle. In this paper, we propose a deep transfer learning-based matching
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An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics

July 3, 2024 / /
We introduce an algorithmic approach designed to compare similar shoeprint images, with automated alignment. Our method employs the Iterative Closest Points (ICP) algorithm to attain optimal alignment, further enhancing precision
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A deep learning approach for the comparison of handwritten documents using latent feature vectors

July 3, 2024 / / ,
Forensic questioned document examiners still largely rely on visual assessments and expert judgment to determine the provenance of a handwritten document. Here, we propose a novel approach to objectively compare
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Likelihood ratios for changepoints in categorical event data with applications in digital forensics

July 3, 2024 / / ,
We investigate likelihood ratio models motivated by digital forensics problems involving time-stamped user-generated event data from a device or account. Of specific interest are scenarios where the data may have
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Interpretable algorithmic forensics

July 3, 2024 / / ,
One of the most troubling trends in criminal investigations is the growing use of “black box” technology, in which law enforcement rely on artificial intelligence (AI) models or algorithms that
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An Anti-Fuzzing Approach for Android Apps

November 17, 2023 / , /
One of significant mobile app forensic analysis problems is the app evidence extraction from the device. Given the fact that mobile apps could generate more than 19K files in a
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