Author

J. Jung

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Preprint Aug 2026

SegPAR: Class-Centric Decision-Based Sparse Attack for Semantic Segmentation

Despite the practical relevance of sparse decision-based black-box threats, they have received limited attention in semantic segmentation. To bridge this gap, we adapt the most representative decision-based black-box sparse attacks from the classification domain to serve as baselines, establishing a rigorous benchmark...

Dong-Su Song, Dae-Yoo Go, Boseung Seo et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Discovering Natural Transformation Vulnerabilities in Black-Box Vision Models

ASA is proposed, a query-based black-box framework that searches over natural-language editing scenarios using a multimodal language model and a modern text-guided generative editor and uses a greedy explorer to compose only attack-improving scenarios.

Dong-Su Song, Dae-Yoo Go, J. Jung · 0 citations

Preprint Aug 2026

TESLA: Taylor Expansion of Sinusoidal Learnable Activations

TESLA, an activation defined as a learnable combination of sine and cosine terms, enabling explicit control over polynomial degree and selective amplification of high-order components is proposed, indicating that activation-level degree control transfers to more general vision workloads.

Daehwa Ko, Jae-Hwan Kim, Seunghyun Ham et al. · 0 citations