CV

Education

Ph.D. in Computer Science, University of Florida, Gainesville, FL (Defending February 2026, Graduation May 2026)
Advisor: Dr. Patrick Traynor

B.A. in Mathematics, Computer Science, and Data Science, Carroll College, Helena, MT (May 2019)

Work Experience

Senior Research Scientist, Harbor Experts — Feb 2024–Present
Baltimore, MD

• Serve as technical consultant for expert witness cases.
• Author detailed legal and technical reports to support testimony.
• Develop and evaluate arguments for patent validation and infringement analysis.

Lead Graduate Student, Florida Institute of Cybersecurity Research — 2023–Present
University of Florida

• Mentor Ph.D. students on research development and technical writing.
• Manage NSF-funded project compliance and deliverables.
• Support coordination between faculty and research teams.

Graduate Research Assistant, Florida Institute of Cybersecurity Research — 2019–Present
University of Florida

• Reproduced over 580 artifacts across 2,000 papers for reproducibility studies.
• Conducted large-scale human–AI deepfake detection studies.
• Analyzed 700 ML security papers for reproducibility standards.
• Developed statistical and signal-processing tools for deepfake detection.
• Built secure authentication systems and analyzed misinformation propagation.

Representation Experiment Environment Engineer, SPHERE — June–Aug 2025
Information Security Institute, University of Southern California

• Deployed large-scale artifact testbed for reproducible security research.
• Managed dataset release and documentation.
• Coordinated with NSF program officers on milestones and outcomes.

Machine Learning Research Intern, FireEye — May–Aug 2020
Reston, VA

• Built Siamese network on EMBER dataset for multi-objective learning.
• Implemented adversarial robustness evaluations.
• Presented results to cross-functional security teams.

Cloud Systems Analyst, State of Montana — Jan–Aug 2019
Helena, MT

• Automated system updates for 14,000 users.
• Created Python-based dashboards for system data visualization.

Applied Mathematics Researcher: Project Manager, IPAM, UCLA — Jun–Aug 2018

• Designed deep convolutional autoencoders for biomedical imaging.
• Predicted cancer symptom outcomes from radiation therapy.

Undergraduate Summer Researcher, Rochester Institute of Technology — Jun–Aug 2017

• Simulated cardiac arrest dynamics and PDE-based control models.

Undergraduate Summer Researcher, Carroll College — Jun–Aug 2016

• Developed computational distillation methods for organic substrates.
• Presented findings at campus research symposium.

Publications

Every breath you don’t take: Deepfake speech detection using breath

Layton, S., De Andrade, T., Olszewski, D., Warren, K., Gates, C., Butler, K., & Traynor, P. (2025). Every breath you don't take: Deepfake speech detection using breath. Digital Threats: Research and Practice, 6(3), 1-18.

Analyzing the AI Nudification Application Ecosystem

Gibson, C., Olszewski, D., Brigham, N., Crowder, A., Butler, K., Traynor, P., Redmiles, E., & Kohno, T. (2025). Analyzing the AI Nudification Application Ecosystem. In Proceedings of the USENIX Security Conference 2025 (USENIX '25).

Towards a Unified Approach of Applied Replicability for Computer Security

Olszewski, D., Tucker, T., Butler, K., & Traynor, P. (2025). Towards a Unified Approach of Applied Replicability for Computer Security. In Proceedings of the USENIX Security Conference 2025 (USENIX 25).

Reproducibility in Applied Security Conferences: An 11-Year Review on Artifacts and Evaluation Committees

Olszewski, D., Lu, A., Crowder, A., Bennett, N., Layton, S., Bhupathiraju, S.H.V., Tucker, T., Kalgutkar, S., Ver Helst, H., Stillman, C., Butler, K., Rampazzi, S., & Traynor, P. (2025). Reproducibility in Applied Security Conferences: An 11-Year Review on Artifacts and Evaluation Committees. In Proceedings of the ACM Conference on Reproducibility 2025 (ACM REP 25). Best Paper Award.

Characterizing the Impact of Audio Deepfakes in the Presence of Cochlear Implants

Pasternak, M., Warren, K., Olszewski, D., Traynor, P., & Butler, K. (2025). Characterizing the Impact of Audio Deepfakes in the Presence of Cochlear Implants. In Proceedings of the Network and Distributed System Security Symposium 2025 (NDSS 25).

I Can Show You the World (of Censorship): Extracting Insights from Censorship Measurement Data Using Statistical Techniques

Crowder, A., Olszewski, D., Traynor, P., & Butler, K. (2024). I Can Show You the World (of Censorship): Extracting Insights from Censorship Measurement Data Using Statistical Techniques. In Proceedings of ACSAC 2024.

Better Be Computer or I’m Dumb: A Large-Scale Evaluation of Humans as Audio Deepfake Detectors

Warren, K., Tucker, T., Crowder, A., Olszewski, D., Lu, A., Federle, C., Pasternak, M., Layton, S., Butler, K., Gates, C., & Traynor, P. (2024). Better Be Computer or I'm Dumb: A Large-Scale Evaluation of Humans as Audio Deepfake Detectors. In Proceedings of the ACM CCS 2024. Distinguished Paper Award.

SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets

Layton, S., Tucker, T., Olszewski, D., Warren, K., Butler, K., & Traynor, P. (2024). SoK: The Good, The Bad, and The Unbalanced: Measuring Structural Limitations of Deepfake Media Datasets. In Proceedings of the USENIX Security Symposium 2024 (USENIX 24).

Get in Researchers; We’re Measuring Reproducibility: A Reproducibility Study of ML Papers at Tier 1 Security Conferences

Olszewski, D., et al. (2023). Get in Researchers; We're Measuring Reproducibility: A Reproducibility Study of ML Papers at Tier 1 Security Conferences. In Proceedings of the ACM CCS 2023.

Efficient Malware Analysis Using Metric Embeddings

Rudd, E., Krisiloff, D., Olszewski, D., Raff, E., & Holt, J. (2022). Efficient Malware Analysis Using Metric Embeddings. In Proceedings of CAMLIS 2022.

HallMonitor: A Framework for Identifying Network Policy Violations in Software

Olszewski, D., Zhu, W., Sathyanarayana, S., Butler, K., & Traynor, P. (2022). HallMonitor: A Framework for Identifying Network Policy Violations in Software. In Proceedings of IEEE CNS 2022.

SMS OTP Security (SOS): Hardening SMS-Based Two Factor Authentication

Peeters, C., Patton, C., Sherman, I., Olszewski, D., Shrimpton, T., & Traynor, P. (2022). SMS OTP Security (SOS): Hardening SMS-Based Two Factor Authentication. In Proceedings of ASIA CCS 2022.

Patents

• Identifying Deepfake Audio Using Breath Detection and Measurement
  US Patent Application 19/083,551
  PG Traynor, KS Warren, K Butler, S Layton, D Olszewski, C Gates

• Detecting Audio Deepfakes Through Acoustic Prosodic Modeling
  US Patent Application 18/305,971
  PG Traynor, KS Warren, K Butler, S Layton, D Olszewski, C Gates

• Detecting Deepfake Audio Using Turbulence
  US Patent Application 18/748,590
  PG Traynor, K Butler, D Olszewski, LE Blue, M Pasternak

• Secure Two-Factor Authentication System
  US Patent 12,003,502
  PG Traynor, C Peeters, C Patton, I Sherman, D Olszewski, T Shrimpton

Invited Talks

• Analyzing the Nudification Ecosystem, CSAW Applied Research Competition, Nov 2025 (Acceptance: 5.8%)
• Towards Identifying Reproducible Outcomes for the Security Community, ACM CCS Doctoral Symposium, Oct 2025 (Acceptance: 26%)
• Humans vs. Computer Interfaces: The Challenge of Separating Deepfakes/Bots from People, Montana State University & Carroll College, Sept 2024
• “Well it Worked on My Computer”: Reproducibility in Computer Security, Keynote at CSET, Aug 2024

Funding

• Co-authored NSF SaTC grant on reproducibility in security research — awarded $600K over 3 years.
  Proposed 10 initiatives, 7 approved for execution.

Teaching and Mentoring

• Lead Graduate Student, Florida Institute of Cybersecurity Research, 2024–2025
• Guest Lecturer, University of Florida (Computer and Network Security), 2024–2025
• Lead, Systems and Network Security Reading Group, 2021–2023
• Teaching Assistant, Statistics and Probability (MA207), 2017–2018
• Teaching Assistant, Modern Applications of Discrete Mathematics (MA328), 2017–2019
• Lab Assistant, General Chemistry (GA101–102), 2016–2018

Service and Leadership

Graduate Service (University of Florida, 2019–Present)

• USENIX Security Program Committee Member, 2026
• ACM CCS Program Committee Member, 2025
• CCS Artifact Evaluation Committee, 2025
• Guest Reviewer, IEEE S&P Magazine, 2024
• Guest Reviewer, ACM Reproducibility Evaluation Platform (REP), 2025
• Guest Reviewer, IEEE S&P, 2024
• CCS AEC Member, 2023

Undergraduate Leadership (Carroll College, 2015–2019)

• Student Body President
• Presidential Search Committee
• Curriculum Committee
• Budget, Resources, and Planning Committee
• Faculty Search Student Member

Honors and Awards

• Best Paper Award, ACM REP 2025
• Internet Defense Runner-Up, USENIX Security 2025
• Distinguished Paper Award, ACM CCS 2024
• Gartner Grant Fellowship, 2022–2024

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