activity
20182026
most citedBackdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

133 citations · 171 across the 23 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CR2021★ 4 cited

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…

cs.CR2021

Design and Evaluate Recomposited OR-AND-XOR-PUF

Jianrong Yao, Lihui Pang, Zhi Zhang +3

Physical Unclonable Function (PUF) is a hardware security primitive with a desirable feature of low-cost. Based on the space of challenge-response pairs (CRPs), it has two categori…

cs.CR2021★ 7 cited

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…

cs.CR2021

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network with IP Protection for Internet of Things

Huming Qiu, Hua Ma, Zhi Zhang +6

Though deep neural network models exhibit outstanding performance for various applications, their large model size and extensive floating-point operations render deployment on mobi…

cs.LG2021★ 1 cited

Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things

Yansong Gao, Minki Kim, Chandra Thapa +5

Federated learning (FL) and split learning (SL) are state-of-the-art distributed machine learning techniques to enable machine learning training without accessing raw data on clien…

cs.CR2021

SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh

Zhi Zhang, Yueqiang Cheng, Minghua Wang +7

Rowhammer attacks that corrupt level-1 page tables to gain kernel privilege are the most detrimental to system security and hard to mitigate. However, recently proposed software-on…