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Meeting Presentations

Decks and recordings from our quarterly chapter meetings and other events. Have a deck to share? Submit a talk.

2026

Mrunal Gangrade

Threat Modeling and Predictive Analytics in the Age of Quantum Computing

Mrunal Gangrade March 7, 2026

Q1 2026 Chapter Meeting

The presentation argues that traditional reactive security is insufficient against emerging quantum computing threats, particularly "Harvest Now, Decrypt Later" attacks, and proposes a unified framework combining quantum-aware threat modeling, ML-driven predictive analytics, and automated adaptive defense to build a continuously learning security posture that can survive the cryptographic transition ahead.

cryptography quantum
Joshua Grose

LLM Abliteration 101: Hands-On Unrestricted AI, Local Models

Joshua Grose March 7, 2026

Q1 2026 Chapter Meeting

This session breaks down what LLM Abliteration is, shows how to do it with open source tools, and includes a live demo comparing real outcomes. You'll learn how to run unrestricted models locally and leave with practical ideas on how these techniques can be used for meaningful security research and education.

AI/ML red team offensive security

Q1 Tampa Chapter Updates

March 7, 2026

Q1 2026 Chapter Meeting

Q1 Tampa Chapter Update Presentation by chapter leadership

AI/ML red team offensive security
Mrunal Gangrade

Threat Modeling and Predictive Analytics in the Age of Quantum Computing

Mrunal Gangrade March 7, 2026

Q1 2026 Chapter Meeting

The presentation argues that traditional reactive security is insufficient against emerging quantum computing threats, particularly "Harvest Now, Decrypt Later" attacks, and proposes a unified framework combining quantum-aware threat modeling, ML-driven predictive analytics, and automated adaptive defense to build a continuously learning security posture that can survive the cryptographic transition ahead.

cryptography quantum
Joshua Grose

LLM Abliteration 101: Hands-On Unrestricted AI, Local Models

Joshua Grose March 7, 2026

Q1 2026 Chapter Meeting

This session breaks down what LLM Abliteration is, shows how to do it with open source tools, and includes a live demo comparing real outcomes. You'll learn how to run unrestricted models locally and leave with practical ideas on how these techniques can be used for meaningful security research and education.

AI/ML red team offensive security

Q1 Tampa Chapter Updates

March 7, 2026

Q1 2026 Chapter Meeting

Q1 Tampa Chapter Update Presentation by chapter leadership

AI/ML red team offensive security

Want to present?

We're always looking for speakers. First-timers welcome.