research
∙
08/03/2023
Floorplet: Performance-aware Floorplan Framework for Chiplet Integration
A chiplet is an integrated circuit that encompasses a well-defined subse...
share
research
∙
07/07/2023
RADAR: Robust AI-Text Detection via Adversarial Learning
Recent advances in large language models (LLMs) and the intensifying pop...
research
∙
06/29/2023
NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
Deep neural networks (DNNs) have become ubiquitous in machine learning, ...
research
∙
06/26/2023
Toward Fairness Through Fair Multi-Exit Framework for Dermatological Disease Diagnosis
Fairness has become increasingly pivotal in medical image recognition. H...
research
∙
06/26/2023
AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain Tumor
Magnetic resonance imaging (MRI) is commonly used for brain tumor segmen...
research
∙
06/12/2023
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
Diffusion Models (DMs) are state-of-the-art generative models that learn...
research
∙
06/08/2023
A Novel Confidence Induced Class Activation Mapping for MRI Brain Tumor Segmentation
Magnetic resonance imaging (MRI) is a commonly used technique for brain ...
research
∙
06/06/2023
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Recent advances in denoising diffusion probabilistic models have shown g...
research
∙
05/24/2023
Uncovering and Quantifying Social Biases in Code Generation
With the popularity of automatic code generation tools, such as Copilot,...
research
∙
04/19/2023
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
Current studies on adversarial robustness mainly focus on aggregating lo...
research
∙
01/08/2023
Fair Multi-Exit Framework for Facial Attribute Classification
Fairness has become increasingly pivotal in facial recognition. Without ...
research
∙
12/11/2022
How to Backdoor Diffusion Models?
Diffusion models are state-of-the-art deep learning empowered generative...
research
∙
11/29/2022
NCTV: Neural Clamping Toolkit and Visualization for Neural Network Calibration
With the advancement of deep learning technology, neural networks have d...
research
∙
11/15/2022
Security Closure of IC Layouts Against Hardware Trojans
Due to cost benefits, supply chains of integrated circuits (ICs) are lar...
research
∙
09/23/2022
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration
Neural network calibration is an essential task in deep learning to ensu...
research
∙
09/04/2022
Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation
Medical report generation is a challenging task since it is time-consumi...
research
∙
08/31/2022
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning
Deep Neural Networks (DNNs) have achieved excellent performance in vario...
research
∙
07/16/2022
CARBEN: Composite Adversarial Robustness Benchmark
Prior literature on adversarial attack methods has mainly focused on att...
research
∙
02/09/2022
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
Model robustness against adversarial examples of single perturbation typ...
research
∙
10/23/2021
"One-Shot" Reduction of Additive Artifacts in Medical Images
Medical images may contain various types of artifacts with different pat...
research
∙
11/04/2020
Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective
Deep learning had already demonstrated its power in medical images, incl...
research
∙
07/17/2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Current transfer learning methods are mainly based on finetuning a pretr...
research
∙
05/14/2017
ILP-based Alleviation of Dense Meander Segments with Prioritized Shifting and Progressive Fixing in PCB Routing
Length-matching is an important technique to bal- ance delays of bus sig...
research
∙
05/14/2017
Post-Route Alleviation of Dense Meander Segments in High-Performance Printed Circuit Boards
Length-matching is an important technique to balance delays of bus signa...
research
∙
05/14/2017