The science behind Abundant Security
AI innovation grounded in real-world security operations.
Events
Upcoming
London
AMLUCS 2026 (Applied Machine Learning for Cyber Security Conference)
Sep 23, 2026 – Sep 24, 2026
Hyrum (keynote); Abundant Security (platinum sponsor)
Arlington, VA
CAMLIS 2026 (Conference on Applied Machine Learning in Information Security)
Oct 21, 2026 – Oct 23, 2026
Hyrum (co-founder); Abundant Security (platinum sponsor)
Past
![[un]prompted 2026 (The AI Security Practitioner Conference)](/_next/image?url=%2Fresources%2Fevents%2Funprompted.png&w=640&q=75&dpl=dpl_9f3GhjxrEKJTpj9rRxFGiViiCJrM)
San Francisco, CA
[un]prompted 2026 (The AI Security Practitioner Conference)
Mar 3, 2026 – Mar 4, 2026
Josh (speaker)
Talks
Past
Securing AI Agents
Deep dive into the security challenges of autonomous AI agents and how to defend them.
Josh Saxe
Offensive AI Con (OAIC)
Exploring the cutting edge of adversarial AI techniques and offensive machine learning.
Josh Saxe
Unprompted
On the unintended behaviors and emergent risks of large language models.
Josh Saxe
Books & Publications
Not with a Bug, But with a Sticker
Attacks on Machine Learning Systems and What to Do About Them
Ram Shankar Siva Kumar & Hyrum Anderson
Wiley, 2024 — Foreword by Bruce Schneier
Buy
Malware Data Science
Attack Detection and Attribution
Joshua Saxe with Hillary Sanders
No Starch Press, 2018
Buy
Practical Cryptography in Python
Learning Correct Cryptography by Example
Seth James Nielson & Christopher K. Monson
Apress, 2019
Buy
Introduction to Programming for the Independent Student
A Self-Starter's Course on the Principles and Practice of Bending Computers to Your Will
Christopher K. Monson
Independently published, 2020
Buy
Cyber Hard Problems
Focused Steps Toward a Resilient Digital Future
National Academies of Sciences, Engineering, and Medicine; Hyrum Anderson (committee member)
Consensus Study Report, 2025
BuySelected publications
- 18,922 citations
The Llama 3 Herd of Models
Dubey A, Jauhri A, … Saxe J, et al. · arXiv, 2024
- 2,239 citations
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation
Brundage M, Avin S, … Anderson H, et al. · arXiv, 2018
- 1,168 citations
Deep Neural Network Based Malware Detection Using Two Dimensional Binary Program Features
Saxe J, Berlin K · MALWARE, 2015
- 945 citations
EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
Anderson HS, Roth P · arXiv, 2018
- 803 citations
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
Mehrotra A, … Anderson H, et al. · NeurIPS, 2024
- 583 citations
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning
Anderson HS, Kharkar A, Filar B, Evans D, Roth P · arXiv, 2018
- 502 citations
Poisoning Web-Scale Training Datasets Is Practical
Carlini N, Jagielski M, … Anderson H, et al. · IEEE S&P, 2024
- 384 citations
Predicting Domain Generation Algorithms with Long Short-Term Memory Networks
Woodbridge J, Anderson HS, Ahuja A, Grant D · arXiv, 2016
- 364 citations
eXpose: A Character-Level CNN with Embeddings for Detecting Malicious URLs, File Paths and Registry Keys
Saxe J, Berlin K · arXiv, 2017
- 333 citations
Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
Vassilev A, Oprea A, Fordyce A, Anderson H · NIST AI 100-2, 2024
- 313 citations
DeepDGA: Adversarially-Tuned Domain Generation and Detection
Anderson HS, Woodbridge J, Filar B · ACM AISec, 2016
- 211 citations
“Real Attackers Don’t Compute Gradients”: Bridging the Gap Between Adversarial ML Research and Practice
Apruzzese G, Anderson HS, Dambra S, Freeman D, Pierazzi F, Roundy K · IEEE SaTML, 2023
- 194 citations
Purple Llama CyberSecEval: A Secure Coding Benchmark for Language Models
Bhatt M, Chennabasappa S, … Saxe J, et al. · arXiv, 2023
- 164 citations
Parallel PSO Using MapReduce
McNabb AW, Monson CK, Seppi KD · IEEE CEC, 2007
- 163 citations
Malicious Behavior Detection Using Windows Audit Logs
Berlin K, Slater D, Saxe J · ACM AISec, 2015
- 132 citations
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization
Monson CK, Seppi KD · GECCO, 2004