43 citations · 67 across the 8 of their papers we have counts for
5 papers · 1 filter
Bayesian Learned Models Can Detect Adversarial Malware For Free
Bao Gia Doan, Dang Quang Nguyen, Paul Montague +6
The vulnerability of machine learning-based malware detectors to adversarial attacks has prompted the need for robust solutions. Adversarial training is an effective method but is…
SplITS: Split Input-to-State Mapping for Effective Firmware Fuzzing
Guy Farrelly, Paul Quirk, Salil S. Kanhere +2
Ability to test firmware on embedded devices is critical to discovering vulnerabilities prior to their adversarial exploitation. State-of-the-art automated testing methods rehost f…
Ember-IO: Effective Firmware Fuzzing with Model-Free Memory Mapped IO
Guy Farrelly, Michael Chesser, Damith C. Ranasinghe
Exponential growth in embedded systems is driving the research imperative to develop fuzzers to automate firmware testing to uncover software bugs and security vulnerabilities. But…
Transferable Graph Backdoor Attack
Shuiqiao Yang, Bao Gia Doan, Paul Montague +5
Graph Neural Networks (GNNs) have achieved tremendous success in many graph mining tasks benefitting from the message passing strategy that fuses the local structure and node featu…
Leaving Your Things Unattended is No Joke! Memory Bus Snooping and Open Debug Interface Exploits
Yang Su, Damith C. Ranasinghe
Internet of Things devices are widely adopted by the general population. People today are more connected than ever before. The widespread use and low-cost driven construction of th…