Categories

• Chicago (1)
  • Police (2)
    • LPL (1)
      • Inside the Chicago Police Department’s Secret Budget
• Cryptography (3)
  • commitment schemes (1)
    • Commitment Schemes 101
• machine learning (1)
  • ethics (1)
    • Manipulation and Machine Learning
• Post (21)
  • Tracking which wheels can be reproducibly built
  • Using HTTPS Everywhere rules for SecureDrop onion names
  • Cosmology (1)
    • JavaScript (1)
      • d3.js (1)
        • Visualizing Cosmological Power Spectra with d3.js
  • Cryptography (3)
    • Implementing the CBC padding oracle attack
    • Statistics (1)
      • Collision attacks and the birthday paradox
  • Police (2)
    • Surveillance (1)
      • Primer on Police Surveillance
  • Rust (2)
    • Getting started in Rust and WebAssembly
    • Creating Python extensions in Rust using PyO3
  • Signal (3)
    • Investigating the Signal Protocol, Part 3: Web applications
    • Investigating the Signal Protocol, Part 2: Groups, devices
    • Investigating the Signal Protocol, Part 1: Foundations
  • Software Development (7)
    • Protecting journalists from malware using QubesOS
    • Handling equal priority jobs using queue.PriorityQueue
    • A pytest fixture for image similarity
    • Using pyreverse to generate UML class diagrams
  • Testing (3)
    • Software Development (7)
      • How to apply unittest.mock.patch
      • Debugging programs with pdb
      • Strategies for handling flaky test suites
  • threat modeling (1)
    • Continuous threat modeling, Part 1: Tooling wish list
  • Tor (1)
    • Scanning for onion service availability
  • Transparency (1)
    • Censorship (1)
      • Why Publishing Data on ICE Employees is in the Public Interest
• SecureDrop (1)
  • whistleblowing (1)
    • How SecureDrop Works 101