Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2312.11473
Cited By
Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models
24 November 2023
Poyuan Mao
Shashank Kotyan
Tham Yik Foong
Danilo Vasconcellos Vargas
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models"
6 / 6 papers shown
Title
Alignment of Diffusion Models: Fundamentals, Challenges, and Future
Buhua Liu
Shitong Shao
Bao Li
Lichen Bai
Zhiqiang Xu
Haoyi Xiong
James Kwok
Sumi Helal
Zeke Xie
45
12
0
11 Sep 2024
Beyond Aesthetics: Cultural Competence in Text-to-Image Models
Nithish Kannen
Arif Ahmad
Marco Andreetto
Vinodkumar Prabhakaran
Utsav Prabhu
Adji Bousso Dieng
Pushpak Bhattacharyya
Shachi Dave
56
16
0
09 Jul 2024
Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Katherine Xu
Lingzhi Zhang
Jianbo Shi
43
12
0
23 May 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
Shashank Kotyan
Poyuan Mao
Pin-Yu Chen
Danilo Vasconcellos Vargas
AAML
DiffM
43
0
0
07 Feb 2024
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
173
777
0
27 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
233
1,355
0
24 Jan 2022
1