Fire Mountain Labs

Media

Publications

See Google Scholar pages of Chris M Ward & Dr. Josh Harguess for full list of publications

Selected Publications

2026

  1. The demystifying AI assurance workshop: practical approaches for secure and responsible AI integration

    CM Ward, J Harguess, C Coalier, A Neff

    SPIE Assurance and Security for AI-enabled Systems 2026, 14046

  2. Operationalizing AI assurance: translating maturity and risk frameworks into measurable practice

    D Bowes, J Harguess, C Ward

    SPIE Assurance and Security for AI-enabled Systems 2026, 14046

  3. A hybrid threat modeling and risk validation framework for mission-critical AI systems

    J Harguess, CM Ward

    SPIE Assurance and Security for AI-enabled Systems 2026, 14046

  4. Operationalizing enterprise AI security: an open-source framework for AI cyber risk management

    J Harguess, CM Ward, E Cardinal

    SPIE Assurance and Security for AI-enabled Systems 2026, 14046

2025

  1. A poison bottle marked with a skull, on cocoa

    Adversarial threat vectors and risk mitigation for retrieval-augmented generation systems

    CM Ward, J Harguess

    SPIE DCS Assurance and Security for AI-enabled Systems 2025, 13476, 80-97

  2. Offensive security for AI systems: concepts, practices, and applications

    J Harguess, CM Ward

    SPIE DCS Assurance and Security for AI-enabled Systems 2025, 13476, 98-108

2024

  1. The AI security pyramid of pain

    CM Ward, J Harguess, J Tao, D Christman, M Tan, P Spicer

    SPIE DCS Assurance and Security for AI-enabled Systems, 13054, 44-53

2023

  1. Fake it till you break it: evaluating the performance of synthetically optimized adversarial patches against real-world imagery

    M Zarei, CM Ward, J Harguess, M Aiken

    SPIE DCS Geospatial Informatics XIII, 12525, 172-183

2022

  1. Is the next winter coming for AI? Elements of making secure and robust AI

    J Harguess, CM Ward

    IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7

  2. Adversarial barrel! an evaluation of 3d physical adversarial attacks

    M Zarei, C Ward, J Harguess, M Aiken

    IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6

  3. Exploring the effect of adversarial attacks on deep learning architectures for x-ray data

    I Bankole-Hameed, A Parikh, J Harguess

    IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-9

  4. Metrics for evaluating adversarial attack patterns

    S Smith, S Muto, A Evans, CM Ward, J Harguess, E Holt

    SPIE DCS Geospatial Informatics XII, 12099, 115-127

2021

  1. A Dynamic Thermal IR Display for Physical Adversarial Attacks

    S Bendelac, K Manville, J Harguess, M Rodriguez

    IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7

  2. Physical adversarial attacks in simulated environments

    M Threet, C Busho, J Harguess, M Jutras, N Lape, S Leary, K Manville, ...

    IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-5

  3. Baseline evaluation methodology for adversarial patterns on object detection models

    E Holt, A Malkastian, S Smith, C Ward, J Harguess

    IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-6

  4. The vulnerability of UAVs: An adversarial machine learning perspective

    M Doyle, J Harguess, K Manville, M Rodriguez

    SPIE DCS Geospatial Informatics XI, 11733, 81-92

  5. Adversarial attack attribution: discovering attributable signals in adversarial ML attacks

    M Dotter, S Xie, K Manville, J Harguess, C Busho, M Rodriguez

    AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning