| Synthetic shifts to initial seed vector exposes the brittle nature of latent-based diffusion models M Po-Yuan, S Kotyan, TY Foong, DV Vargas arXiv preprint arXiv:2312.11473, 2023 | 4 | 2023 |
| HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts DH Dat, PY Mao, TH Nguyen, W Buntine, M Bennamoun arXiv preprint arXiv:2311.14747, 2023 | 4 | 2023 |
| The challenges of image generation models in generating multi-component images TY Foong, S Kotyan, PY Mao, DV Vargas arXiv preprint arXiv:2311.13620, 2023 | 3 | 2023 |
| EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions S Kotyan, PY Mao, D Vasconcellos Vargas arXiv e-prints, arXiv: 2402.04699, 2024 | 1 | 2024 |
| Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations TY Foong, H Zhang, MP Yuan, DV Vargas arXiv preprint arXiv:2404.05168, 2024 | | 2024 |
| Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models! S Kotyan, PY Mao, PY Chen, DV Vargas arXiv preprint arXiv:2402.04699, 2024 | | 2024 |
| Magnum: Tackling High-Dimensional Structures with Self-Organization M PoYuan, T YikFoong, Z Heng, DV Vargas Neurocomputing, 126508, 2023 | | 2023 |
| Synthetic Shifts to Initial Seed Vector Exposes the Brittle Nature of Latent-Based Diffusion Models P Mao, S Kotyan, TY Foong, DV Vargas CoRR, 2023 | | 2023 |
| Breaking Free: Hacking Diffusion Models for Generating Adversarial Examples and Bypassing Safety Guardrails S Kotyan, PY Mao, PY Chen, DV Vargas | | |
Danilo Vasconcellos VargasAssoc. Professor @Kyushu University & Vis. Researcher @The University of TokyoVerified email at inf.kyushu-u.ac.jp
