Blog Posts

2026

• Jan 31
  Digest of my PhD thesis

2025

• Dec 17
  AI Slop

• Jul 22
  My Erdős number

• May 08
  Discussion forum for CSLE.

• Feb 10
  CSLE v0.8.0

• Jan 13
  The Univariate Kalman Filter

• Jan 09
  Podcast about my thesis

2024

• Jun 07
  CSLE v0.6.0

• Apr 08
  Cauchy and Putin

• Mar 27
  Policy Iteration as one step of Newton's method

• Mar 13
  Installing CSLE

• Feb 21
  A curated list of resources dedicated to reinforcement learning applied to cyber security.

2023

• Nov 29
  Optimal Prediction in Partially Observed Linear Gaussian Systems

• Sep 09
  CSLE v0.4.0

• May 30
  Autonomous and artifically intelligent cyber defense agent

• May 27
  Trends -- AI and security

• Jan 11
  Reinforcement Learning Books

• Jan 03
  The Need for Reinforcement Learning Research in Cyber Security

2022

• Oct 30
  Reinforcement Learning for Automated Security

• Oct 13
  Optimal Control for Climate Manipulation

• Aug 19
  Structured Causal Models (SCMs) and MDPs

• Aug 11
  Transform Analysis of Markov Processes.

• Jul 13
  Data is the key.

• Jun 09
  A software framework for building self-learning systems for cyber security.

• Mar 10
  Reinforcement learning for cyber security

• Mar 04
  The Partially Observed Markovian Optimal Stopping Problem

2021

• Dec 20
  Towards a method for computing effective intrusion prevention policies using reinforcement learning

• Nov 01
  The Uppsala Code and AI Ethics

• Aug 20
  Friends don't let friends stop their learning curves

• Jul 09
  An RCE Exploit for a Vulnerable Pengine Server

• Jun 16
  A Time-to-Compromise Model of IDS Alerts and Login Attempts

2020

• May 06
  Self-Play Non-Convergence in a Markov Game

• May 02
  Expectation Maximization

• Mar 27
  Is AI Good or Evil?

• Feb 16
  Tesla P100 GPU Benchmark

2019

• May 11
  Hello World