Arlington, VA
CAMLIS 2026 (Conference on Applied Machine Learning in Information Security)
Oct 21, 2026 – Oct 23, 2026
Hyrum Anderson (co-founder); Abundant Security (platinum sponsor)
The science behind Abundant Security
AI innovation grounded in real-world security operations.
Events
Upcoming
Register
Past
London
AMLUCS 2026 (Applied Machine Learning for Cyber Security Conference)
Sep 23, 2026 – Sep 24, 2026
Hyrum Anderson (keynote); Abundant Security (platinum sponsor)
Las Vegas, NV
AI Summit at Black Hat USA 2026
August 4, 2026
Josh Saxe (speaker)
Las Vegas, NV
Black Hat USA 2026
Aug 3, 2026 – Aug 6, 2026
Team
Podcast / Virtual
Resilient Cyber Podcast (with Chris Hughes)
July 10, 2026
Josh Saxe (guest)
Virtual
CSA (Cloud Security Alliance) Virtual Keynote
June 1, 2026
Josh Saxe (keynote)
San Francisco, CA
Graph the Planet 2026
Mar 23, 2026
Josh Saxe (speaker)
San Francisco, CA
RSAC 2026 Panel
Mar 23, 2026
Josh Saxe (panelist)
![[un]prompted 2026 (The AI Security Practitioner Conference)](/_next/image?url=%2Fresources%2Fevents%2Funprompted.png&w=3840&q=75&dpl=dpl_14M1yzGkNCt2Fi1DhBH9UqUwRzw2)
San Francisco, CA
[un]prompted 2026 (The AI Security Practitioner Conference)
Mar 3, 2026 – Mar 4, 2026
Josh Saxe (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
Josh Saxe with Hillary Sanders
No Starch Press, 2018
BuyMore books
Cyber Hard Problems
National Academies of Sciences, Engineering, and Medicine; Hyrum Anderson (committee member)
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
- 163 citations
Malicious Behavior Detection Using Windows Audit Logs
Berlin K, Slater D, Saxe J · ACM AISec, 2015
In the press
The New York Times
OpenAI Ignored Employees Who Warned It Wasn't Doing Enough About Security
September 29, 2026
The Wall Street Journal
Hackers Used Anthropic's Claude to Break Into OpenAI
September 17, 2026
CNN · Anderson Cooper 360°
The AI Attack That Sparked Current Concerns About Future Threats
September 15, 2026
WP Intelligence
The Need to Treat AI Agents as Adversaries
August 28, 2026
The Washington Post
AI Models Are Breaking Out of Their Cages. Their Creators Are Scrambling.
August 10, 2026
The Wall Street Journal
Rogue AI Hacks Herald New Era of Cyber Chaos
August 1, 2026
The Washington Post
For Years, They Worried AI Might Break Free. Now They Have to Stop It.
July 23, 2026
Scientific American
The Real Danger in OpenAI's Hugging Face Hack
July 22, 2026