Supporting Event: AI Security Workshop – part 2 (31 Jan 2026)
Date: 29 Nov 2025 (Sat)
Time: 9:30am – 12:30pm
Venue: FTC 1407, HKUSPACE Campus (North Point)
Fee: Free (Pre-registration is required)
Register: https://dracosec.tech/en/form/offsec (Laptop required)
Highlight
OffSec HK Chapter – AI Security Workshop
Adversarial AI: Discover, Defend, Deliver – Part 2
In an era where AI drives applications from autonomous vehicles to fraud detection systems, even minor manipulations can compromise model integrity. Consider scenarios such as deceiving facial recognition systems with subtle stickers or corrupting recommendation algorithms to propagate false information. This introduces the domain of Adversarial Machine Learning (AML), where vulnerabilities hide within neural network architectures.
This workshop offers a practical, hands-on exploration of these challenges. It clarifies AML risks and provides actionable methods for developing resilient AI solutions. Informed by recent advancements and actual events, such as the 2023 Uber autonomous driving vulnerabilities and the surge in 2025 LLM prompt injection attacks. This session covers the complete AML process: identifying concealed flaws, implementing effective defenses, and deploying fortified models in production environments.
Note: Please bring along your laptop computer for hands-on tasks.
Conducted in: Cantonese (Spoken) with English materials
For detail, please visit https://dracosec.tech/en/form/offsec.