research
∙
03/19/2023
Trainable Projected Gradient Method for Robust Fine-tuning
Recent studies on transfer learning have shown that selectively fine-tun...
share
research
∙
01/09/2023
SoK: Hardware Defenses Against Speculative Execution Attacks
Speculative execution attacks leverage the speculative and out-of-order ...
research
∙
11/22/2021
Medical Aegis: Robust adversarial protectors for medical images
Deep neural network based medical image systems are vulnerable to advers...
research
∙
08/20/2021
CloudShield: Real-time Anomaly Detection in the Cloud
In cloud computing, it is desirable if suspicious activities can be dete...
research
∙
03/11/2021
Smartphone Impostor Detection with Behavioral Data Privacy and Minimalist Hardware Support
Impostors are attackers who take over a smartphone and gain access to th...
research
∙
12/22/2020
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces
As mobile devices are becoming ubiquitous, regularly interacting with a ...
research
∙
12/17/2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks
Deep neural networks (DNNs) for medical images are extremely vulnerable ...
research
∙
09/17/2020
New Models for Understanding and Reasoning about Speculative Execution Attacks
Spectre and Meltdown attacks and their variants exploit hardware perform...
research
∙
07/10/2020
Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection
Recent methods in multiple landmark detection based on deep convolutiona...
research
∙
02/10/2020
Smartphone Impostor Detection with Built-in Sensors and Deep Learning
In this paper, we show that sensor-based impostor detection with deep le...
research
∙
08/09/2018
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting
Deep learning has become popular, and numerous cloud-based services are ...
research
∙
06/18/2018