250 citations · 863 across the 66 of their papers we have counts for
5 papers · 2 filters
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks
Yansong Gao, Yeonjae Kim, Bao Gia Doan +5
This work corroborates a run-time Trojan detection method exploiting STRong Intentional Perturbation of inputs, is a multi-domain Trojan detection defence across Vision, Text and A…
Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
Bao Gia Doan, Ehsan Abbasnejad, Damith C. Ranasinghe
We propose Februus; a new idea to neutralize highly potent and insidious Trojan attacks on Deep Neural Network (DNN) systems at run-time. In Trojan attacks, an adversary activates…
Hash Functions and Benchmarks for Resource Constrained Passive Devices: A Preliminary Study
Yang Su, Yansong Gao, Omid Kavehei +1
Recently, we have witnessed the emergence of intermittently powered computational devices, an early example is the Intel WISP (Wireless Identification and Sensing Platform). How we…
Building Secure SRAM PUF Key Generators on Resource Constrained Devices
Yansong Gao, Yang Su, Wei Yang +3
A securely maintained key is the premise upon which data stored and transmitted by ubiquitously deployed resource limited devices, such as those in the Internet of Things (IoT), ar…
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
Yansong Gao, Chang Xu, Derui Wang +3
A recent trojan attack on deep neural network (DNN) models is one insidious variant of data poisoning attacks. Trojan attacks exploit an effective backdoor created in a DNN model b…