Chawin Sitawarin | DeepAI

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∙ 11/19/2020

Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams

Adversarial examples are a widely studied phenomenon in machine learning...

24 Chawin Sitawarin, et al. ∙

∙ 03/18/2020

Improving Adversarial Robustness Through Progressive Hardening

Adversarial training (AT) has become a popular choice for training robus...

1 Chawin Sitawarin, et al. ∙

∙ 03/14/2020

Minimum-Norm Adversarial Examples on KNN and KNN-Based Models

We study the robustness against adversarial examples of kNN classifiers ...

10 Chawin Sitawarin, et al. ∙

∙ 06/23/2019

Defending Against Adversarial Examples with K-Nearest Neighbor

Robustness is an increasingly important property of machine learning mod...

1 Chawin Sitawarin, et al. ∙

∙ 05/05/2019

Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples

A large body of recent work has investigated the phenomenon of evasion a...

18 Vikash Sehwag, et al. ∙

∙ 03/20/2019

On the Robustness of Deep K-Nearest Neighbors

Despite a large amount of attention on adversarial examples, very few wo...

18 Chawin Sitawarin, et al. ∙

∙ 02/18/2018

DARTS: Deceiving Autonomous Cars with Toxic Signs

Sign recognition is an integral part of autonomous cars. Any misclassifi...

0 Chawin Sitawarin, et al. ∙

∙ 01/09/2018

Rogue Signs: Deceiving Traffic Sign Recognition with Malicious Ads and Logos

We propose a new real-world attack against the computer vision based sys...

0 Chawin Sitawarin, et al. ∙

∙ 12/04/2017

Beyond Grand Theft Auto V for Training, Testing and Enhancing Deep Learning in Self Driving Cars

As an initial assessment, over 480,000 labeled virtual images of normal ...

0 Mark Martinez, et al. ∙

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