activity
20222026
most citedTowards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations

2 citations · 5 across the 8 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CV2023★ 1 cited

AutoVP: An Automated Visual Prompting Framework and Benchmark

Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen +2

Visual prompting (VP) is an emerging parameter-efficient fine-tuning approach to adapting pre-trained vision models to solve various downstream image-classification tasks. However,…

cs.LG2023★ 1 cited

NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes

Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy +2

Deep neural networks (DNNs) have become ubiquitous in machine learning, but their energy consumption remains problematically high. An effective strategy for reducing such consumpti…