MTU Cybersecurity Colloquium

Organizer -

Dr. Bo Chen (Computer Science)

Coordinators -

Dr. Xinyu Lei (Computer Science)

Dr. Kaichen Yang (Electrical and Computer Engineering)

Dr. Niusen Chen (Computer Science)


"UNICORN - A Unified Backdoor Trigger Inversion Framework"

Presenter - Shiwei Ding

Feb 12, 2024, 12 PM - 1 PM @ EERC 315

The backdoor attack, where the adversary uses inputs stamped with triggers (e.g.,
a patch) to activate pre-planted malicious behaviors, is a severe threat to Deep Neural Network (DNN) models. Trigger inversion is an effective way of identifying backdoor models and understanding embedded adversarial behaviors. Achallenge of trigger inversion is that there are many ways of constructing the trigger. Existing methods cannot generalize to various types of triggers by making certain assumptions or attack-specific constraints. The fundamental reason is that existing work does not consider the trigger’s design space in their formulation of the inversion problem. This work formally defines and analyzes the triggers injected in different spaces and the inversion problem. Then, it proposes a unified framework to invert backdoor triggers based on the formalization of triggers and the identified inner behaviors of backdoor models from our analysis. Our prototype UNICORN is general and effective in inverting backdoor triggers in DNNs.

*Some food and beverages provided at events


Past Colloquiums