25 citations · 120 across the 14 of their papers we have counts for
14 papers
A Review and Comparison of AI Enhanced Side Channel Analysis
Max Panoff, Honggang Yu, Haoqi Shan +1
Side Channel Analysis (SCA) presents a clear threat to privacy and security in modern computing systems. The vast majority of communications are secured through cryptographic algor…
Invisible Finger: Practical Electromagnetic Interference Attack on Touchscreen-based Electronic Devices
Haoqi Shan, Boyi Zhang, Zihao Zhan +3
Touchscreen-based electronic devices such as smart phones and smart tablets are widely used in our daily life. While the security of electronic devices have been heavily investigat…
PDNPulse: Sensing PCB Anomaly with the Intrinsic Power Delivery Network
Huifeng Zhu, Haoqi Shan, Dean Sullivan +3
The ubiquitous presence of printed circuit boards (PCBs) in modern electronic systems and embedded devices makes their integrity a top security concern. To take advantage of the ec…
Exploring Adversarial Examples for Efficient Active Learning in Machine Learning Classifiers
Honggang Yu, Shihfeng Zeng, Teng Zhang +2
Machine learning researchers have long noticed the phenomenon that the model training process will be more effective and efficient when the training samples are densely sampled aro…
CHIMERA: A Hybrid Estimation Approach to Limit the Effects of False Data Injection Attacks
Xiaorui Liu, Yaodan Hu, Charalambos Konstantinou +1
The reliable operation of power grid is supported by energy management systems (EMS) that provide monitoring and control functionalities. Contingency analysis is a critical applica…
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos +4
Over the last decade, the number of cyberattacks targeting power systems and causing physical and economic damages has increased rapidly. Among them, False Data Injection Attacks (…
On the (In)security of Bluetooth Low Energy One-Way Secure Connections Only Mode
Yue Zhang, Jian Weng, Rajib Dey +3
To defeat security threats such as man-in-the-middle (MITM) attacks, Bluetooth Low Energy (BLE) 4.2 and 5.x introduce the Secure Connections Only mode, under which a BLE device acc…
RTL-PSC: Automated Power Side-Channel Leakage Assessment at Register-Transfer Level
Miao, He, Jungmin Park +4
Power side-channel attacks (SCAs) have become a major concern to the security community due to their non-invasive feature, low-cost, and effectiveness in extracting secret informat…
IoT Security: An End-to-End View and Case Study
Zhen Ling, Kaizheng Liu, Yiling Xu +5
In this paper, we present an end-to-end view of IoT security and privacy and a case study. Our contribution is three-fold. First, we present our end-to-end view of an IoT system an…
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks
Qi Liu, Tao Liu, Zihao Liu +3
DNN is presenting human-level performance for many complex intelligent tasks in real-world applications. However, it also introduces ever-increasing security concerns. For example,…
MT-Spike: A Multilayer Time-based Spiking Neuromorphic Architecture with Temporal Error Backpropagation
Tao Liu, Zihao Liu, Fuhong Lin +3
Modern deep learning enabled artificial neural networks, such as Deep Neural Network (DNN) and Convolutional Neural Network (CNN), have achieved a series of breaking records on a b…
PT-Spike: A Precise-Time-Dependent Single Spike Neuromorphic Architecture with Efficient Supervised Learning
Tao Liu, Lei Jiang, Yier Jin +2
One of the most exciting advancements in AI over the last decade is the wide adoption of ANNs, such as DNN and CNN, in many real-world applications. However, the underlying massive…
Wolf in Sheep's Clothing - The Downscaling Attack Against Deep Learning Applications
Qixue Xiao, Kang Li, Deyue Zhang +1
This paper considers security risks buried in the data processing pipeline in common deep learning applications. Deep learning models usually assume a fixed scale for their trainin…
Execution Integrity with In-Place Encryption
Dean Sullivan, Orlando Arias, David Gens +3
Instruction set randomization (ISR) was initially proposed with the main goal of countering code-injection attacks. However, ISR seems to have lost its appeal since code-injection…