Search Results for author: Ningfei Wang

Found 6 papers, 0 papers with code

Intriguing Properties of Diffusion Models: A Large-Scale Dataset for Evaluating Natural Attack Capability in Text-to-Image Generative Models

no code implementations30 Aug 2023 Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen

Motivated by the finding, we construct a large-scale dataset, Natural Denoising Diffusion Attack (NDDA) dataset, to systematically evaluate the risk of the natural attack capability of diffusion models with state-of-the-art text-to-image diffusion models.

Denoising Image Generation

Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack

no code implementations ICCV 2023 Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen

In this work, we conduct the first measurement study on whether and how effectively the existing designs can lead to system-level effects, especially for the STOP sign-evasion attacks due to their popularity and severity.

Autonomous Driving

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack

no code implementations14 Sep 2020 Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen

Automated Lane Centering (ALC) systems are convenient and widely deployed today, but also highly security and safety critical.

Lane Detection

Security of Deep Learning based Lane Keeping System under Physical-World Adversarial Attack

no code implementations3 Mar 2020 Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jack Jia, Xue Lin, Qi Alfred Chen

Lane-Keeping Assistance System (LKAS) is convenient and widely available today, but also extremely security and safety critical.

Adversarial Attack

Interpretable Deep Learning under Fire

no code implementations3 Dec 2018 Xinyang Zhang, Ningfei Wang, Hua Shen, Shouling Ji, Xiapu Luo, Ting Wang

The improved interpretability is believed to offer a sense of security by involving human in the decision-making process.

Decision Making

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