44 citations · 256 across the 65 of their papers we have counts for
7 papers · 1 filter
NTD: Non-Transferability Enabled Backdoor Detection
Yinshan Li, Hua Ma, Zhi Zhang +6
A backdoor deep learning (DL) model behaves normally upon clean inputs but misbehaves upon trigger inputs as the backdoor attacker desires, posing severe consequences to DL model d…
Quantization Backdoors to Deep Learning Commercial Frameworks
Hua Ma, Huming Qiu, Yansong Gao +7
Currently, there is a burgeoning demand for deploying deep learning (DL) models on ubiquitous edge Internet of Things (IoT) devices attributed to their low latency and high privacy…
RAIDER: Reinforcement-aided Spear Phishing Detector
Keelan Evans, Alsharif Abuadbba, Tingmin Wu +5
Spear Phishing is a harmful cyber-attack facing business and individuals worldwide. Considerable research has been conducted recently into the use of Machine Learning (ML) techniqu…
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
Shuo Wang, Surya Nepal, Kristen Moore +3
The diversity and quantity of data warehouses, gathering data from distributed devices such as mobile devices, can enhance the success and robustness of machine learning algorithms…
Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon Ryu, Yifeng Zheng, Yansong Gao +6
Collaborative inference has recently emerged as an attractive framework for applying deep learning to Internet of Things (IoT) applications by splitting a DNN model into several su…
Token-Modification Adversarial Attacks for Natural Language Processing: A Survey
Tom Roth, Yansong Gao, Alsharif Abuadbba +2
Many adversarial attacks target natural language processing systems, most of which succeed through modifying the individual tokens of a document. Despite the apparent uniqueness of…
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
Alsharif Abuadbba, Hyoungshick Kim, Surya Nepal
Convolutional Neural Networks (CNNs) deployed in real-life applications such as autonomous vehicles have shown to be vulnerable to manipulation attacks, such as poisoning attacks a…