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Bo-Han Kung

4 papers hereh-index 5364 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedClass-Aware Robust Adversarial Training for Object Detection

3 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

AngelFingerprint: A Traceable, Explainable, and White-Box Stealthy Watermark for Text-Guided Image Editing

Bo-Han Kung, Futa Waseda, Ching-Chun Chang +2

Text-guided diffusion editing raises disinformation concerns, making reliable image provenance essential. While watermarks are commonly used for this purpose, most methods carry a…

cs.LG2025

Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss

Bo-Han Lai, Pin-Han Huang, Bo-Han Kung +1

Lipschitz neural networks are well-known for providing certified robustness in deep learning. In this paper, we present a novel, efficient Block Reflector Orthogonal (BRO) layer th…

cs.LG2023

Towards Large Certified Radius in Randomized Smoothing using Quasiconcave Optimization

Bo-Han Kung, Shang-Tse Chen

Randomized smoothing is currently the state-of-the-art method that provides certified robustness for deep neural networks. However, due to its excessively conservative nature, this…

cs.CV2021★ 3 cited

Class-Aware Robust Adversarial Training for Object Detection

Pin-Chun Chen, Bo-Han Kung, Jun-Cheng Chen

Object detection is an important computer vision task with plenty of real-world applications; therefore, how to enhance its robustness against adversarial attacks has emerged as a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.