Search Results for author: Bo-Han Kung

Found 3 papers, 1 papers with code

Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization

no code implementations1 Feb 2023 Bo-Han Kung, Shang-Tse Chen

This observation leads to an efficient and effective input-specific randomized smoothing algorithm.

Class-Aware Robust Adversarial Training for Object Detection

no code implementations CVPR 2021 Pin-Chun Chen, Bo-Han Kung, Jun-Cheng Chen

Meanwhile, instead of normalizing the total loss with the number of objects, the proposed approach decomposes the total loss into class-wise losses and normalizes each class loss using the number of objects for the class.

Adversarial Robustness Object +2

Naturalistic Physical Adversarial Patch for Object Detectors

1 code implementation ICCV 2021 Yu-Chih-Tuan Hu, Bo-Han Kung, Daniel Stanley Tan, Jun-Cheng Chen, Kai-Lung Hua, Wen-Huang Cheng

Most prior works on physical adversarial attacks mainly focus on the attack performance but seldom enforce any restrictions over the appearance of the generated adversarial patches.

Generative Adversarial Network Object

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