Jinghan Yang | DeepAI

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Mingyang Xie
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∙ 05/22/2023

Relabel Minimal Training Subset to Flip a Prediction

Yang et al. (2023) discovered that removing a mere 1 often lead to the f...

0 Jinghan Yang, et al. ∙

∙ 02/04/2023

Certified Robust Control under Adversarial Perturbations

Autonomous systems increasingly rely on machine learning techniques to t...

0 Jinghan Yang, et al. ∙

∙ 02/04/2023

How Many and Which Training Points Would Need to be Removed to Flip this Prediction?

We consider the problem of identifying a minimal subset of training data...

0 Jinghan Yang, et al. ∙

∙ 10/21/2021

PROVES: Establishing Image Provenance using Semantic Signatures

Modern AI tools, such as generative adversarial networks, have transform...

0 Mingyang Xie, et al. ∙

∙ 10/17/2020

Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

There is considerable evidence that deep neural networks are vulnerable ...

0 Jinghan Yang, et al. ∙

∙ 12/04/2019

Protecting Geolocation Privacy of Photo Collections

People increasingly share personal information, including their photos a...

6 Jinghan Yang, et al. ∙

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