1 code implementation • 12 Oct 2023 • Hsi-Ai Tsao, Lei Hsiung, Pin-Yu Chen, Sijia Liu, Tsung-Yi Ho
To bridge this gap, we propose AutoVP, an end-to-end expandable framework for automating VP design choices, along with 12 downstream image-classification tasks that can serve as a holistic VP-performance benchmark.
1 code implementation • 29 Jun 2023 • Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
To address this challenge, we introduce NeuralFuse, a novel add-on module that addresses the accuracy-energy tradeoff in low-voltage regimes by learning input transformations to generate error-resistant data representations.
1 code implementation • 29 Nov 2022 • Lei Hsiung, Yung-Chen Tang, Pin-Yu Chen, Tsung-Yi Ho
With the advancement of deep learning technology, neural networks have demonstrated their excellent ability to provide accurate predictions in many tasks.
1 code implementation • 16 Jul 2022 • Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
Prior literature on adversarial attack methods has mainly focused on attacking with and defending against a single threat model, e. g., perturbations bounded in Lp ball.
1 code implementation • CVPR 2023 • Lei Hsiung, Yun-Yun Tsai, Pin-Yu Chen, Tsung-Yi Ho
We then propose generalized adversarial training (GAT) to extend model robustness from $\ell_{p}$-ball to composite semantic perturbations, such as the combination of Hue, Saturation, Brightness, Contrast, and Rotation.
no code implementations • ICML Workshop AML 2021 • Yun-Yun Tsai, Lei Hsiung, Pin-Yu Chen, Tsung-Yi Ho
We then propose generalized adversarial training (GAT) to extend model robustness from $\ell_{p}$ norm to composite semantic perturbations, such as Hue, Saturation, Brightness, Contrast, and Rotation.