Nov 21, 2023 · Named SD-NAE (Stable Diffusion for Natural Adversarial Examples), our innovative method is effective in producing valid and useful NAEs.
This repo contains the code for the paper Generating Natural Adversarial Examples with Stable Diffusion.
In this work, we propose to actively synthesize NAEs with the state-of-the-art Stable Diffusion. Specifically, our method formulates a controlled optimization ...
May 14, 2024 · This paper introduces a novel method called SD-NAE to actively synthesize Natural Adversarial Examples (NAEs) using the Stable Diffusion model.
Sep 27, 2024 · SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li. 2023, Tiny Papers ...
Nov 22, 2023 · SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. View PDF. By Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li, Yueqian ...
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion · 1 code implementation • 21 Nov 2023 • Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li.
Interspeech, 2024. PaperCodeOral presentation. ICLR. SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. Yueqian Lin *, Jingyang Zhang ...
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion · 1 code implementation • 21 Nov 2023 • Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li.
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Sep 11, 2024 · Lin et al. [16] combined a stable diffusion model with SD-. NAE method to generate realistic adversarial examples that are both concealed and ...