Yinpeng Dong

Forecast the Plausible Paths in Crowd Scenes

2017

Forecasting the future plausible paths of pedestrians in crowd scenes is of wide applications, but it still remains as a challenging task due to the complexities and uncertainties of crowd motions. To address these issues, …

Benchmarking Adversarial Robustness

2019 · arXiv (Cornell University)

Deep neural networks are vulnerable to adversarial examples, which becomes one of the most important research problems in the development of deep learning. While a lot of efforts have been made in recent years, it …

Pre-trained Adversarial Perturbations

2022 · arXiv (Cornell University)

Self-supervised pre-training has drawn increasing attention in recent years due to its superior performance on numerous downstream tasks after fine-tuning. However, it is well-known that deep learning models lack the robustness to adversarial examples, which …

Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy

2024 · arXiv (Cornell University)

Text-to-image diffusion models have achieved tremendous success in the field of controllable image generation, while also coming along with issues of privacy leakage and data copyrights. Membership inference arises in these contexts as a potential …