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Publications and Presentations

Our goal is to share how CSAFE research directly impacts the forensic science community. To connect you with the latest advancements, our team publicizes research results in peer-reviewed scientific journals and at worldwide forensic science conferences.

Below you will find links to full publications resulting from center research, as well as copies of recent presentation slides. Looking for more CSAFE products? Find research tools and datasets in our resources section.

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Found 115 Results
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Android App Forensic Evidence Database (AndroidAED)

Type: Research Area(s):

Published: 2020 | By: Chen Shi

After attending this presentation, attendees will better understand how AndroidAED will be beneficial for academic researchers whose studies relate to mobile applications that grant them the ability to search through many of the available applications across various third-party app stores.

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A Wild Manhunt for Stego Images Created by Mobile Apps

Type: Research Area(s):

Published: 2020 | By: Li Lin

As mobile Internet and telecommunication technology develops at high speed, the digital image forensics academic community is facing a growing challenge. • Mobile applications (Apps) allow a user to easily edit/process an image for a variety of purposes. • Thanks…

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A database of handwriting samples for applications in forensic statistics

Type: Research Area(s):

Published: 2020 | By: Amy Crawford

Handwriting samples were collected from 90 adults for the purpose of developing statistical approaches to the evaluation of handwriting as forensic evidence. Each participant completed three data collection sessions, each at least three weeks apart. At each session, a survey…

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Quantifying the association between discrete event time series with applications to digital forensics

Type: Research Area(s):

Published: 2020 | By: Christopher Galbraith

We consider the problem of quantifying the degree of association between pairs of discrete event time series, with potential applications in forensic and cybersecurity settings. We focus in particular on the case where two associated event series exhibit temporal clustering…

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Score-based Likelihood Ratios for Camera Device Identification

Type: Research Area(s):

Published: 2020 | By: Stephanie Reinders

Many areas of forensics are moving away from the notion of classifying evidence simply as a match or non-match. Instead, some use score-based likelihood ratios (SLR) to quantify the similarity between two pieces of evidence, such as a fingerprint obtained…

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Algorithm mismatch in spatial steganalysis

Type: Research Area(s):

Published: 2019 | By: Stephanie Reinders

The number and availability of stegonographic embedding algorithms continues to grow. Many traditional blind steganalysis frameworks require training examples from every embedding algorithm, but collecting, storing and processing representative examples of each algorithm can quickly become untenable. Our motivation for…

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Score-based likelihood ratios in device identification

Type: Research Area(s):

Published: 2020 | By: Stephanie Reinders

Many areas of forensics are moving away from the notion of classifying evidence simply as a match or non-match. Instead, some use score-based likelihood ratios (SLR) to quantify the similarity between two pieces of evidence, such as a fingerprint obtained…

View on Digital Repository


Automatic Classification of Bloodstain Patterns Caused by Gunshot and Blunt Impact at Various Distances

Type: Research Area(s):

Published: 2020 | By: Yu Liu

The forensics discipline of bloodstain pattern analysis plays an important role in crime scene analysis and reconstruction. One reconstruction question is whether the blood has been spattered via gunshot or blunt impact such as beating or stabbing. This paper proposes…

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Letter to the Editor: Automatic Classification of Bloodstain Patterns

Type: Research Area(s):

Published: 2020 | By: Yu Liu

The forensics discipline of bloodstain pattern analysis plays an important role in crime scene analysis and reconstruction. One reconstruction question is whether the blood has been spattered via gunshot or blunt impact such as beating or stabbing. This paper proposes…

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A Robust Approach to Automatically Locating Grooves in 3D Bullet Land Scans

Type: Research Area(s):

Published: 2019 | By: Kiegan Rice

Land engraved areas (LEAs) provide evidence to address the same source–different source problem in forensic firearms examination. Collecting 3D images of bullet LEAs requires capturing portions of the neighboring groove engraved areas (GEAs). Analyzing LEA and GEA data separately is…

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Processing Stamp Bags for Latent Prints: Impacts of Rubric Selection and Gray-Scaling on Experimental Results

Type: Research Area(s):

Published: 2019 | By: B. Barnes

We report data on two open issues in our previous experimentation seeking an effective method for development of latent prints on glassine drug bags: (1) the choice of rubric to assess the quality of fingerprints and (2) the choice of…

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What do forensic analysts consider relevant to their decision making?

Type: Research Area(s):

Published: 2019 | By: Brett O. Gardner

In response to research demonstrating that irrelevant contextual information can bias forensic science analyses, authorities have increasingly urged laboratories to limit analysts’ access to irrelevant and potentially biasing information (Dror and Cole (2010) [3]; National Academy of Sciences (2009) [18];…

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Perceptions and estimates of error rates in forensic science: A survey of forensic analysts

Type: Research Area(s):

Published: 2019 | By: Daniel C. Murrie

Every scientific technique features some error, and legal standards for the admissibility of scientific evidence (e.g., Daubert v. Merrill Dow Pharmaceuticals, Inc., 1993; Kumho Tire Co v. Carmichael, 1999) guide trial courts to consider known error rates. However, recent reviews…

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Latent Print Proficiency Testing: An Examination of Test Respondents, Test-Taking Procedures, and Test Characteristics.

Type: Research Area(s):

Published: 2019 | By: Brett O. Gardner

Proficiency testing is a key component of quality assurance programs within crime laboratories and can help improve laboratory practices. However, current proficiency testing procedures contain significant limitations and can be misinterpreted by examiners and court personnel (Garrett & Mitchell, 2018).…

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A convolutional neural network for outsole recognition

Type: Research Area(s):

Published: 2019 | By: Neil Spencer

A common goal of forensic shoeprint analysis is to identify shoe models or designs that are similar to that of a given print, such as a print found at a crime scene. Quantifying similarity between shoe outsole patterns is difficult…

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StegoAppDB: A steganography apps forensics image database

Type: Research Area(s):

Published: 2019 | By: Jennifer Newman/J. Newman presented

In this paper, we present a new reference dataset simulating digital evidence for image (photographic) steganography. Steganography detection is a digital image forensic topic that is relatively unknown in practical forensics, although stego app use in the wild is on…

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Accounting for individual differences among decision-makers with applications to the evaluation of forensic evidence

Type: Research Area(s):

Published: 2019 | By: Amanda Luby

Forensic science often involves the comparison of crime-scene evidence to a known-source sample to determine if the evidence arose from the same source as the reference sample. Common examples include determining if a fingerprint or DNA was left by a…

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Implementation of a Blind Quality Control Program in Blood Alcohol Analysis

Type: Research Area(s):

Published: 2019 | By: Jackeline Moral

Declared proficiency tests are limited in their use for testing the performance of the entire system, because analysts are aware that they are being tested. A blind quality control (BQC) is intended to appear as a real case to the…

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Statistical Analysis of Handwriting for Writer Identification

Type: Research Area(s):

Published: 2019 | By: Amy Crawford

This presentation overviews the use of a statistical model to provide probabilistic statements of writership for handwritten documents.

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A semi-automated algorithm to quantify similarity between outsole impressions using SURF

Type: Research Area(s):

Published: 2019 | By: Alicia Carriquiry

Footwear examiners are tasked with comparing an outsole impression (Q) left at a crime scene with an impression (K) from a database or from the suspect’s shoe. We propose semi-automated algorithm, MC-COMP-SURF, for comparing two shoe outsole impressions, that relies…

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CSAFE Annual Reports

Review a year’s worth of research progress in CSAFE’s yearly report, detailing advancements in each of our 30 projects.

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